{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\jbs548\Dropbox\Joan Barcelo\Present\NYUAD Assistant Professor\Research\Papers\Patatas - Desarrollo - Instituciones\Analisis\PSRM Replication files\PSRM_Replication_Part_2_smcl.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 4 Nov 2019, 11:29:42

{com}. do "C:\Users\jbs548\AppData\Local\Temp\STD160c_000000.tmp"
{txt}
{com}. *****************************************************************
. *                                                               *
. *                                                               *
. *                   REPLICATION FILES FOR:                      *
. *                                                               *
. *                    Endogenous Democracy:                      *
. *  Causal Evidence from the Adoption of Potato in the Old World *                           
. *                                                               *
. *                                   *Sensitivity Analysis*                      *
. *                                                               *          
. *                                                               *
. *                                                               *
. *****************************************************************
. 
. **********************************
. * Set working directory and data *
. **********************************
. 
. *cd ""
. 
. use "potato_data.dta", clear
{txt}(Written by R.              )

{com}. 
. **********************************
. *       Flexible variables       *
. **********************************
. 
. local ln_potato_flexible "ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900"
{txt}
{com}. local ln_oworld_flexible "ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900"
{txt}
{com}. local ln_tropical_flexible "ln_tropical_1100 ln_tropical_1200 ln_tropical_1300 ln_tropical_1400 ln_tropical_1500 ln_tropical_1600 ln_tropical_1700 ln_tropical_1750 ln_tropical_1800 ln_tropical_1850 ln_tropical_1900"
{txt}
{com}. local ln_rugged_flexible "ln_rugged_1100 ln_rugged_1200 ln_rugged_1300 ln_rugged_1400 ln_rugged_1500 ln_rugged_1600 ln_rugged_1700 ln_rugged_1750 ln_rugged_1800 ln_rugged_1850 ln_rugged_1900"
{txt}
{com}. local ln_elevation_flexible "ln_elevation_1100 ln_elevation_1200 ln_elevation_1300 ln_elevation_1400 ln_elevation_1500 ln_elevation_1600 ln_elevation_1700 ln_elevation_1750 ln_elevation_1800 ln_elevation_1850 ln_elevation_1900"
{txt}
{com}. 
. *****************************************
. * Appendix E: Sensitivity Analysis              *
. *                                                                               *
. * WARNING: Models may take hours to run *
. *****************************************
. 
. ****Estimate reduced-form equations to set sensible bounds for gamma****
. 
. regress lead_polity city_pop_share ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900 i.year i.country

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,552
{txt}{hline 13}{c +}{hline 34}   F(152, 1399)    = {res}    17.10
{txt}       Model {c |} {res}  23888.379       152  157.160388   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 12860.4973     1,399  9.19263568   {txt}R-squared       ={res}    0.6500
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.6120
{txt}       Total {c |} {res} 36748.8763     1,551  23.6936662   {txt}Root MSE        =   {res} 3.0319

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                lead_polity{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}city_pop_share {c |}{col 29}{res}{space 2} 11.68474{col 41}{space 2} 2.072518{col 52}{space 1}    5.64{col 61}{space 3}0.000{col 69}{space 4} 7.619165{col 82}{space 3} 15.75032
{txt}{space 15}ln_wpot_1100 {c |}{col 29}{res}{space 2} .0207805{col 41}{space 2} .1047589{col 52}{space 1}    0.20{col 61}{space 3}0.843{col 69}{space 4}-.1847209{col 82}{space 3} .2262819
{txt}{space 15}ln_wpot_1200 {c |}{col 29}{res}{space 2} .0125157{col 41}{space 2} .1047175{col 52}{space 1}    0.12{col 61}{space 3}0.905{col 69}{space 4}-.1929047{col 82}{space 3}  .217936
{txt}{space 15}ln_wpot_1300 {c |}{col 29}{res}{space 2} .0023778{col 41}{space 2} .1046949{col 52}{space 1}    0.02{col 61}{space 3}0.982{col 69}{space 4} -.202998{col 82}{space 3} .2077536
{txt}{space 15}ln_wpot_1400 {c |}{col 29}{res}{space 2}-.0164112{col 41}{space 2}  .104512{col 52}{space 1}   -0.16{col 61}{space 3}0.875{col 69}{space 4}-.2214283{col 82}{space 3} .1886059
{txt}{space 15}ln_wpot_1500 {c |}{col 29}{res}{space 2}-.0113937{col 41}{space 2} .1045024{col 52}{space 1}   -0.11{col 61}{space 3}0.913{col 69}{space 4} -.216392{col 82}{space 3} .1936046
{txt}{space 15}ln_wpot_1600 {c |}{col 29}{res}{space 2}-.0102945{col 41}{space 2} .1045013{col 52}{space 1}   -0.10{col 61}{space 3}0.922{col 69}{space 4}-.2152907{col 82}{space 3} .1947017
{txt}{space 15}ln_wpot_1700 {c |}{col 29}{res}{space 2} .0898751{col 41}{space 2} .1045807{col 52}{space 1}    0.86{col 61}{space 3}0.390{col 69}{space 4}-.1152769{col 82}{space 3}  .295027
{txt}{space 15}ln_wpot_1750 {c |}{col 29}{res}{space 2}  .333792{col 41}{space 2} .1045445{col 52}{space 1}    3.19{col 61}{space 3}0.001{col 69}{space 4} .1287111{col 82}{space 3} .5388729
{txt}{space 15}ln_wpot_1800 {c |}{col 29}{res}{space 2} .6121608{col 41}{space 2} .1045826{col 52}{space 1}    5.85{col 61}{space 3}0.000{col 69}{space 4} .4070051{col 82}{space 3} .8173165
{txt}{space 15}ln_wpot_1850 {c |}{col 29}{res}{space 2} .7270824{col 41}{space 2} .1046155{col 52}{space 1}    6.95{col 61}{space 3}0.000{col 69}{space 4} .5218622{col 82}{space 3} .9323027
{txt}{space 15}ln_wpot_1900 {c |}{col 29}{res}{space 2} .7423706{col 41}{space 2} .1073333{col 52}{space 1}    6.92{col 61}{space 3}0.000{col 69}{space 4}  .531819{col 82}{space 3} .9529222
{txt}{space 27} {c |}
{space 23}year {c |}
{space 22}1100  {c |}{col 29}{res}{space 2}  -.08625{col 41}{space 2} .5449836{col 52}{space 1}   -0.16{col 61}{space 3}0.874{col 69}{space 4}-1.155323{col 82}{space 3} .9828232
{txt}{space 22}1200  {c |}{col 29}{res}{space 2}-.0566532{col 41}{space 2} .5448615{col 52}{space 1}   -0.10{col 61}{space 3}0.917{col 69}{space 4}-1.125487{col 82}{space 3} 1.012181
{txt}{space 22}1300  {c |}{col 29}{res}{space 2} .0593124{col 41}{space 2} .5448704{col 52}{space 1}    0.11{col 61}{space 3}0.913{col 69}{space 4}-1.009539{col 82}{space 3} 1.128164
{txt}{space 22}1400  {c |}{col 29}{res}{space 2}-.0053892{col 41}{space 2} .5447006{col 52}{space 1}   -0.01{col 61}{space 3}0.992{col 69}{space 4}-1.073907{col 82}{space 3} 1.063129
{txt}{space 22}1500  {c |}{col 29}{res}{space 2}-.0125582{col 41}{space 2} .5446989{col 52}{space 1}   -0.02{col 61}{space 3}0.982{col 69}{space 4}-1.081073{col 82}{space 3} 1.055956
{txt}{space 22}1600  {c |}{col 29}{res}{space 2}-.0325183{col 41}{space 2} .5447096{col 52}{space 1}   -0.06{col 61}{space 3}0.952{col 69}{space 4}-1.101054{col 82}{space 3} 1.036017
{txt}{space 22}1700  {c |}{col 29}{res}{space 2} .1873321{col 41}{space 2} .5447469{col 52}{space 1}    0.34{col 61}{space 3}0.731{col 69}{space 4}-.8812767{col 82}{space 3} 1.255941
{txt}{space 22}1750  {c |}{col 29}{res}{space 2} .3179366{col 41}{space 2} .5447159{col 52}{space 1}    0.58{col 61}{space 3}0.560{col 69}{space 4}-.7506114{col 82}{space 3} 1.386485
{txt}{space 22}1800  {c |}{col 29}{res}{space 2}  .212908{col 41}{space 2}  .544767{col 52}{space 1}    0.39{col 61}{space 3}0.696{col 69}{space 4}-.8557403{col 82}{space 3} 1.281556
{txt}{space 22}1850  {c |}{col 29}{res}{space 2} 2.060644{col 41}{space 2} .5449085{col 52}{space 1}    3.78{col 61}{space 3}0.000{col 69}{space 4} .9917181{col 82}{space 3}  3.12957
{txt}{space 22}1900  {c |}{col 29}{res}{space 2} 8.391119{col 41}{space 2} .5446999{col 52}{space 1}   15.41{col 61}{space 3}0.000{col 69}{space 4} 7.322603{col 82}{space 3} 9.459636
{txt}{space 27} {c |}
{space 20}country {c |}
{space 19}Albania  {c |}{col 29}{res}{space 2}-.2130911{col 41}{space 2} 1.250721{col 52}{space 1}   -0.17{col 61}{space 3}0.865{col 69}{space 4}-2.666581{col 82}{space 3} 2.240399
{txt}{space 19}Algeria  {c |}{col 29}{res}{space 2}-1.596364{col 41}{space 2}  1.26178{col 52}{space 1}   -1.27{col 61}{space 3}0.206{col 69}{space 4}-4.071549{col 82}{space 3} .8788207
{txt}{space 20}Angola  {c |}{col 29}{res}{space 2}-1.529037{col 41}{space 2} 1.289346{col 52}{space 1}   -1.19{col 61}{space 3}0.236{col 69}{space 4}-4.058297{col 82}{space 3} 1.000222
{txt}{space 19}Armenia  {c |}{col 29}{res}{space 2}-.1639587{col 41}{space 2} 1.248487{col 52}{space 1}   -0.13{col 61}{space 3}0.896{col 69}{space 4}-2.613067{col 82}{space 3}  2.28515
{txt}{space 17}Australia  {c |}{col 29}{res}{space 2} 3.635582{col 41}{space 2}  1.33629{col 52}{space 1}    2.72{col 61}{space 3}0.007{col 69}{space 4} 1.014234{col 82}{space 3}  6.25693
{txt}{space 19}Austria  {c |}{col 29}{res}{space 2} 1.500584{col 41}{space 2} 1.285832{col 52}{space 1}    1.17{col 61}{space 3}0.243{col 69}{space 4}-1.021783{col 82}{space 3} 4.022951
{txt}{space 16}Bangladesh  {c |}{col 29}{res}{space 2} 2.404671{col 41}{space 2} 1.252088{col 52}{space 1}    1.92{col 61}{space 3}0.055{col 69}{space 4} -.051502{col 82}{space 3} 4.860843
{txt}{space 19}Belarus  {c |}{col 29}{res}{space 2}-2.170675{col 41}{space 2} 1.328004{col 52}{space 1}   -1.63{col 61}{space 3}0.102{col 69}{space 4}-4.775769{col 82}{space 3} .4344193
{txt}{space 19}Belgium  {c |}{col 29}{res}{space 2} 2.556845{col 41}{space 2} 1.274702{col 52}{space 1}    2.01{col 61}{space 3}0.045{col 69}{space 4} .0563124{col 82}{space 3} 5.057378
{txt}{space 21}Benin  {c |}{col 29}{res}{space 2} .8480355{col 41}{space 2} 1.252192{col 52}{space 1}    0.68{col 61}{space 3}0.498{col 69}{space 4}-1.608341{col 82}{space 3} 3.304412
{txt}{space 20}Bhutan  {c |}{col 29}{res}{space 2}-.6298685{col 41}{space 2} 1.245854{col 52}{space 1}   -0.51{col 61}{space 3}0.613{col 69}{space 4}-3.073811{col 82}{space 3} 1.814075
{txt}{space 4}Bosnia and Herzegovina  {c |}{col 29}{res}{space 2}-.4009292{col 41}{space 2} 1.284856{col 52}{space 1}   -0.31{col 61}{space 3}0.755{col 69}{space 4}-2.921381{col 82}{space 3} 2.119523
{txt}{space 18}Botswana  {c |}{col 29}{res}{space 2} 1.014702{col 41}{space 2} 1.252192{col 52}{space 1}    0.81{col 61}{space 3}0.418{col 69}{space 4}-1.441674{col 82}{space 3} 3.471079
{txt}{space 18}Bulgaria  {c |}{col 29}{res}{space 2}-.4231479{col 41}{space 2} 1.301101{col 52}{space 1}   -0.33{col 61}{space 3}0.745{col 69}{space 4}-2.975467{col 82}{space 3} 2.129171
{txt}{space 14}Burkina Faso  {c |}{col 29}{res}{space 2} .0980355{col 41}{space 2} 1.252192{col 52}{space 1}    0.08{col 61}{space 3}0.938{col 69}{space 4}-2.358341{col 82}{space 3} 2.554412
{txt}{space 19}Burundi  {c |}{col 29}{res}{space 2}-.5960996{col 41}{space 2} 1.242999{col 52}{space 1}   -0.48{col 61}{space 3}0.632{col 69}{space 4}-3.034442{col 82}{space 3} 1.842243
{txt}{space 18}Cambodia  {c |}{col 29}{res}{space 2}  .028724{col 41}{space 2} 1.253104{col 52}{space 1}    0.02{col 61}{space 3}0.982{col 69}{space 4}-2.429442{col 82}{space 3}  2.48689
{txt}{space 18}Cameroon  {c |}{col 29}{res}{space 2}  -.69469{col 41}{space 2} 1.239618{col 52}{space 1}   -0.56{col 61}{space 3}0.575{col 69}{space 4}-3.126401{col 82}{space 3} 1.737021
{txt}{space 2}Central African Republic  {c |}{col 29}{res}{space 2} .7647021{col 41}{space 2} 1.252192{col 52}{space 1}    0.61{col 61}{space 3}0.542{col 69}{space 4}-1.691674{col 82}{space 3} 3.221079
{txt}{space 22}Chad  {c |}{col 29}{res}{space 2} .1813688{col 41}{space 2} 1.252192{col 52}{space 1}    0.14{col 61}{space 3}0.885{col 69}{space 4}-2.275008{col 82}{space 3} 2.637745
{txt}{space 21}China  {c |}{col 29}{res}{space 2}-1.467358{col 41}{space 2} 1.357352{col 52}{space 1}   -1.08{col 61}{space 3}0.280{col 69}{space 4}-4.130023{col 82}{space 3} 1.195307
{txt}{space 21}Congo  {c |}{col 29}{res}{space 2}-.4852979{col 41}{space 2} 1.252192{col 52}{space 1}   -0.39{col 61}{space 3}0.698{col 69}{space 4}-2.941674{col 82}{space 3} 1.971079
{txt}Congo, Democratic Republic  {c |}{col 29}{res}{space 2}-.8464205{col 41}{space 2} 1.257881{col 52}{space 1}   -0.67{col 61}{space 3}0.501{col 69}{space 4}-3.313958{col 82}{space 3} 1.621117
{txt}{space 14}Cote dIvoire  {c |}{col 29}{res}{space 2} .6813688{col 41}{space 2} 1.252192{col 52}{space 1}    0.54{col 61}{space 3}0.586{col 69}{space 4}-1.775008{col 82}{space 3} 3.137745
{txt}{space 19}Croatia  {c |}{col 29}{res}{space 2}-.2547482{col 41}{space 2} 1.277638{col 52}{space 1}   -0.20{col 61}{space 3}0.842{col 69}{space 4}-2.761041{col 82}{space 3} 2.251545
{txt}{space 12}Czech Republic  {c |}{col 29}{res}{space 2} .2929777{col 41}{space 2} 1.297082{col 52}{space 1}    0.23{col 61}{space 3}0.821{col 69}{space 4}-2.251459{col 82}{space 3} 2.837414
{txt}{space 19}Denmark  {c |}{col 29}{res}{space 2} 2.248836{col 41}{space 2}  1.29232{col 52}{space 1}    1.74{col 61}{space 3}0.082{col 69}{space 4}-.2862572{col 82}{space 3} 4.783929
{txt}{space 18}Djibouti  {c |}{col 29}{res}{space 2} .5147021{col 41}{space 2} 1.252192{col 52}{space 1}    0.41{col 61}{space 3}0.681{col 69}{space 4}-1.941674{col 82}{space 3} 2.971079
{txt}{space 21}Egypt  {c |}{col 29}{res}{space 2}-.1630441{col 41}{space 2} 1.259064{col 52}{space 1}   -0.13{col 61}{space 3}0.897{col 69}{space 4}  -2.6329{col 82}{space 3} 2.306812
{txt}{space 9}Equatorial Guinea  {c |}{col 29}{res}{space 2}-.0686312{col 41}{space 2} 1.252192{col 52}{space 1}   -0.05{col 61}{space 3}0.956{col 69}{space 4}-2.525008{col 82}{space 3} 2.387745
{txt}{space 19}Eritrea  {c |}{col 29}{res}{space 2}-.0686312{col 41}{space 2} 1.252192{col 52}{space 1}   -0.05{col 61}{space 3}0.956{col 69}{space 4}-2.525008{col 82}{space 3} 2.387745
{txt}{space 19}Estonia  {c |}{col 29}{res}{space 2}-.4460397{col 41}{space 2} 1.279145{col 52}{space 1}   -0.35{col 61}{space 3}0.727{col 69}{space 4}-2.955288{col 82}{space 3} 2.063209
{txt}{space 18}Ethiopia  {c |}{col 29}{res}{space 2}-.0807342{col 41}{space 2} 1.298046{col 52}{space 1}   -0.06{col 61}{space 3}0.950{col 69}{space 4}-2.627061{col 82}{space 3} 2.465592
{txt}{space 22}Fiji  {c |}{col 29}{res}{space 2} .7647021{col 41}{space 2} 1.252192{col 52}{space 1}    0.61{col 61}{space 3}0.542{col 69}{space 4}-1.691674{col 82}{space 3} 3.221079
{txt}{space 19}Finland  {c |}{col 29}{res}{space 2} 1.851355{col 41}{space 2} 1.423139{col 52}{space 1}    1.30{col 61}{space 3}0.194{col 69}{space 4}-.9403623{col 82}{space 3} 4.643072
{txt}{space 20}France  {c |}{col 29}{res}{space 2} 3.311074{col 41}{space 2} 1.332993{col 52}{space 1}    2.48{col 61}{space 3}0.013{col 69}{space 4} .6961929{col 82}{space 3} 5.925955
{txt}{space 21}Gabon  {c |}{col 29}{res}{space 2} .0147021{col 41}{space 2} 1.252192{col 52}{space 1}    0.01{col 61}{space 3}0.991{col 69}{space 4}-2.441674{col 82}{space 3} 2.471079
{txt}{space 20}Gambia  {c |}{col 29}{res}{space 2}-.0686312{col 41}{space 2} 1.252192{col 52}{space 1}   -0.05{col 61}{space 3}0.956{col 69}{space 4}-2.525008{col 82}{space 3} 2.387745
{txt}{space 19}Germany  {c |}{col 29}{res}{space 2} 1.533716{col 41}{space 2} 1.331642{col 52}{space 1}    1.15{col 61}{space 3}0.250{col 69}{space 4}-1.078514{col 82}{space 3} 4.145946
{txt}{space 21}Ghana  {c |}{col 29}{res}{space 2} .4932503{col 41}{space 2} 1.252107{col 52}{space 1}    0.39{col 61}{space 3}0.694{col 69}{space 4} -1.96296{col 82}{space 3}  2.94946
{txt}{space 20}Greece  {c |}{col 29}{res}{space 2} 2.591633{col 41}{space 2} 1.276328{col 52}{space 1}    2.03{col 61}{space 3}0.042{col 69}{space 4} .0879104{col 82}{space 3} 5.095355
{txt}{space 20}Guinea  {c |}{col 29}{res}{space 2} .2647021{col 41}{space 2} 1.252192{col 52}{space 1}    0.21{col 61}{space 3}0.833{col 69}{space 4}-2.191674{col 82}{space 3} 2.721079
{txt}{space 13}Guinea-Bissau  {c |}{col 29}{res}{space 2} .7647021{col 41}{space 2} 1.252192{col 52}{space 1}    0.61{col 61}{space 3}0.542{col 69}{space 4}-1.691674{col 82}{space 3} 3.221079
{txt}{space 19}Hungary  {c |}{col 29}{res}{space 2} .3222244{col 41}{space 2} 1.295665{col 52}{space 1}    0.25{col 61}{space 3}0.804{col 69}{space 4}-2.219432{col 82}{space 3} 2.863881
{txt}{space 19}Iceland  {c |}{col 29}{res}{space 2}-.4852979{col 41}{space 2} 1.252192{col 52}{space 1}   -0.39{col 61}{space 3}0.698{col 69}{space 4}-2.941674{col 82}{space 3} 1.971079
{txt}{space 21}India  {c |}{col 29}{res}{space 2} 1.415341{col 41}{space 2}  1.25048{col 52}{space 1}    1.13{col 61}{space 3}0.258{col 69}{space 4}-1.037676{col 82}{space 3} 3.868359
{txt}{space 17}Indonesia  {c |}{col 29}{res}{space 2} 1.602162{col 41}{space 2} 1.251936{col 52}{space 1}    1.28{col 61}{space 3}0.201{col 69}{space 4}-.8537118{col 82}{space 3} 4.058037
{txt}{space 22}Iran  {c |}{col 29}{res}{space 2} .2861568{col 41}{space 2} 1.245225{col 52}{space 1}    0.23{col 61}{space 3}0.818{col 69}{space 4}-2.156552{col 82}{space 3} 2.728866
{txt}{space 22}Iraq  {c |}{col 29}{res}{space 2}-1.646767{col 41}{space 2} 1.247153{col 52}{space 1}   -1.32{col 61}{space 3}0.187{col 69}{space 4}-4.093258{col 82}{space 3} .7997245
{txt}{space 19}Ireland  {c |}{col 29}{res}{space 2} 3.922725{col 41}{space 2} 1.250738{col 52}{space 1}    3.14{col 61}{space 3}0.002{col 69}{space 4}   1.4692{col 82}{space 3} 6.376249
{txt}{space 20}Israel  {c |}{col 29}{res}{space 2} 1.203983{col 41}{space 2} 1.251665{col 52}{space 1}    0.96{col 61}{space 3}0.336{col 69}{space 4}-1.251361{col 82}{space 3} 3.659326
{txt}{space 21}Italy  {c |}{col 29}{res}{space 2} 1.220434{col 41}{space 2}  1.30547{col 52}{space 1}    0.93{col 61}{space 3}0.350{col 69}{space 4}-1.340455{col 82}{space 3} 3.781323
{txt}{space 21}Japan  {c |}{col 29}{res}{space 2} 1.462174{col 41}{space 2}  1.30535{col 52}{space 1}    1.12{col 61}{space 3}0.263{col 69}{space 4}-1.098481{col 82}{space 3} 4.022828
{txt}{space 20}Jordan  {c |}{col 29}{res}{space 2} .0367982{col 41}{space 2} 1.245854{col 52}{space 1}    0.03{col 61}{space 3}0.976{col 69}{space 4}-2.407145{col 82}{space 3} 2.480741
{txt}{space 16}Kazakhstan  {c |}{col 29}{res}{space 2} .0980355{col 41}{space 2} 1.252192{col 52}{space 1}    0.08{col 61}{space 3}0.938{col 69}{space 4}-2.358341{col 82}{space 3} 2.554412
{txt}{space 21}Kenya  {c |}{col 29}{res}{space 2}-1.313952{col 41}{space 2} 1.279811{col 52}{space 1}   -1.03{col 61}{space 3}0.305{col 69}{space 4}-3.824507{col 82}{space 3} 1.196603
{txt}{space 16}Korea, DPR  {c |}{col 29}{res}{space 2} .6744032{col 41}{space 2} 1.283074{col 52}{space 1}    0.53{col 61}{space 3}0.599{col 69}{space 4}-1.842553{col 82}{space 3} 3.191359
{txt}{space 11}Korea, Republic  {c |}{col 29}{res}{space 2} 2.615875{col 41}{space 2} 1.276285{col 52}{space 1}    2.05{col 61}{space 3}0.041{col 69}{space 4} .1122349{col 82}{space 3} 5.119514
{txt}{space 20}Kuwait  {c |}{col 29}{res}{space 2}-.2352979{col 41}{space 2} 1.252192{col 52}{space 1}   -0.19{col 61}{space 3}0.851{col 69}{space 4}-2.691674{col 82}{space 3} 2.221079
{txt}{space 16}Kyrgyzstan  {c |}{col 29}{res}{space 2}-.1443567{col 41}{space 2} 1.252148{col 52}{space 1}   -0.12{col 61}{space 3}0.908{col 69}{space 4}-2.600647{col 82}{space 3} 2.311933
{txt}{space 22}Laos  {c |}{col 29}{res}{space 2}-.4724858{col 41}{space 2} 1.251896{col 52}{space 1}   -0.38{col 61}{space 3}0.706{col 69}{space 4}-2.928282{col 82}{space 3}  1.98331
{txt}{space 20}Latvia  {c |}{col 29}{res}{space 2}-.9390767{col 41}{space 2} 1.302028{col 52}{space 1}   -0.72{col 61}{space 3}0.471{col 69}{space 4}-3.493215{col 82}{space 3} 1.615061
{txt}{space 19}Lebanon  {c |}{col 29}{res}{space 2}-.3060248{col 41}{space 2} 1.237861{col 52}{space 1}   -0.25{col 61}{space 3}0.805{col 69}{space 4}-2.734289{col 82}{space 3} 2.122239
{txt}{space 19}Lesotho  {c |}{col 29}{res}{space 2} -.477626{col 41}{space 2} 1.255821{col 52}{space 1}   -0.38{col 61}{space 3}0.704{col 69}{space 4}-2.941121{col 82}{space 3} 1.985869
{txt}{space 19}Liberia  {c |}{col 29}{res}{space 2} 2.348035{col 41}{space 2} 1.252192{col 52}{space 1}    1.88{col 61}{space 3}0.061{col 69}{space 4} -.108341{col 82}{space 3} 4.804412
{txt}{space 21}Libya  {c |}{col 29}{res}{space 2}-.9143468{col 41}{space 2} 1.245216{col 52}{space 1}   -0.73{col 61}{space 3}0.463{col 69}{space 4}-3.357039{col 82}{space 3} 1.528345
{txt}{space 17}Lithuania  {c |}{col 29}{res}{space 2}-1.170622{col 41}{space 2} 1.303172{col 52}{space 1}   -0.90{col 61}{space 3}0.369{col 69}{space 4}-3.727003{col 82}{space 3}  1.38576
{txt}{space 17}Macedonia  {c |}{col 29}{res}{space 2}-.7969681{col 41}{space 2} 1.253543{col 52}{space 1}   -0.64{col 61}{space 3}0.525{col 69}{space 4}-3.255995{col 82}{space 3} 1.662059
{txt}{space 16}Madagascar  {c |}{col 29}{res}{space 2}-.3956998{col 41}{space 2} 1.265099{col 52}{space 1}   -0.31{col 61}{space 3}0.754{col 69}{space 4}-2.877395{col 82}{space 3} 2.085995
{txt}{space 20}Malawi  {c |}{col 29}{res}{space 2}-.4892858{col 41}{space 2} 1.267312{col 52}{space 1}   -0.39{col 61}{space 3}0.699{col 69}{space 4}-2.975322{col 82}{space 3} 1.996751
{txt}{space 18}Malaysia  {c |}{col 29}{res}{space 2} .5399066{col 41}{space 2} 1.251989{col 52}{space 1}    0.43{col 61}{space 3}0.666{col 69}{space 4}-1.916071{col 82}{space 3} 2.995884
{txt}{space 22}Mali  {c |}{col 29}{res}{space 2} .6414961{col 41}{space 2} 1.251855{col 52}{space 1}    0.51{col 61}{space 3}0.608{col 69}{space 4}-1.814219{col 82}{space 3} 3.097211
{txt}{space 16}Mauritania  {c |}{col 29}{res}{space 2}-.1519645{col 41}{space 2} 1.252192{col 52}{space 1}   -0.12{col 61}{space 3}0.903{col 69}{space 4}-2.608341{col 82}{space 3} 2.304412
{txt}{space 19}Moldova  {c |}{col 29}{res}{space 2}-.4890388{col 41}{space 2} 1.270427{col 52}{space 1}   -0.38{col 61}{space 3}0.700{col 69}{space 4}-2.981186{col 82}{space 3} 2.003109
{txt}{space 18}Mongolia  {c |}{col 29}{res}{space 2} 1.264702{col 41}{space 2} 1.252192{col 52}{space 1}    1.01{col 61}{space 3}0.313{col 69}{space 4}-1.191674{col 82}{space 3} 3.721079
{txt}{space 19}Morocco  {c |}{col 29}{res}{space 2} -1.76562{col 41}{space 2} 1.283518{col 52}{space 1}   -1.38{col 61}{space 3}0.169{col 69}{space 4}-4.283447{col 82}{space 3} .7522072
{txt}{space 16}Mozambique  {c |}{col 29}{res}{space 2}-.3990694{col 41}{space 2} 1.256092{col 52}{space 1}   -0.32{col 61}{space 3}0.751{col 69}{space 4}-2.863096{col 82}{space 3} 2.064957
{txt}{space 19}Myanmar  {c |}{col 29}{res}{space 2}-.1077184{col 41}{space 2} 1.250507{col 52}{space 1}   -0.09{col 61}{space 3}0.931{col 69}{space 4} -2.56079{col 82}{space 3} 2.345353
{txt}{space 19}Namibia  {c |}{col 29}{res}{space 2} .8480355{col 41}{space 2} 1.252192{col 52}{space 1}    0.68{col 61}{space 3}0.498{col 69}{space 4}-1.608341{col 82}{space 3} 3.304412
{txt}{space 21}Nepal  {c |}{col 29}{res}{space 2} 2.468341{col 41}{space 2} 1.241398{col 52}{space 1}    1.99{col 61}{space 3}0.047{col 69}{space 4} .0331388{col 82}{space 3} 4.903544
{txt}{space 15}Netherlands  {c |}{col 29}{res}{space 2} 2.942645{col 41}{space 2} 1.257825{col 52}{space 1}    2.34{col 61}{space 3}0.019{col 69}{space 4} .4752173{col 82}{space 3} 5.410072
{txt}{space 15}New Zealand  {c |}{col 29}{res}{space 2} 4.298417{col 41}{space 2} 1.406883{col 52}{space 1}    3.06{col 61}{space 3}0.002{col 69}{space 4} 1.538589{col 82}{space 3} 7.058245
{txt}{space 21}Niger  {c |}{col 29}{res}{space 2} .4385861{col 41}{space 2} 1.252149{col 52}{space 1}    0.35{col 61}{space 3}0.726{col 69}{space 4}-2.017707{col 82}{space 3} 2.894879
{txt}{space 19}Nigeria  {c |}{col 29}{res}{space 2}-.3497976{col 41}{space 2} 1.240967{col 52}{space 1}   -0.28{col 61}{space 3}0.778{col 69}{space 4}-2.784154{col 82}{space 3} 2.084559
{txt}{space 20}Norway  {c |}{col 29}{res}{space 2} 3.408212{col 41}{space 2} 1.259211{col 52}{space 1}    2.71{col 61}{space 3}0.007{col 69}{space 4}  .938068{col 82}{space 3} 5.878357
{txt}{space 22}Oman  {c |}{col 29}{res}{space 2}  .833996{col 41}{space 2} 1.251899{col 52}{space 1}    0.67{col 61}{space 3}0.505{col 69}{space 4}-1.621807{col 82}{space 3} 3.289799
{txt}{space 18}Pakistan  {c |}{col 29}{res}{space 2} -.104512{col 41}{space 2} 1.251379{col 52}{space 1}   -0.08{col 61}{space 3}0.933{col 69}{space 4}-2.559294{col 82}{space 3}  2.35027
{txt}{space 10}Papua New Guinea  {c |}{col 29}{res}{space 2} .6813688{col 41}{space 2} 1.252192{col 52}{space 1}    0.54{col 61}{space 3}0.586{col 69}{space 4}-1.775008{col 82}{space 3} 3.137745
{txt}{space 15}Philippines  {c |}{col 29}{res}{space 2} 2.156293{col 41}{space 2} 1.251881{col 52}{space 1}    1.72{col 61}{space 3}0.085{col 69}{space 4}-.2994742{col 82}{space 3}  4.61206
{txt}{space 20}Poland  {c |}{col 29}{res}{space 2}-.8402108{col 41}{space 2} 1.330508{col 52}{space 1}   -0.63{col 61}{space 3}0.528{col 69}{space 4}-3.450217{col 82}{space 3} 1.769795
{txt}{space 18}Portugal  {c |}{col 29}{res}{space 2} .1353783{col 41}{space 2} 1.288693{col 52}{space 1}    0.11{col 61}{space 3}0.916{col 69}{space 4}  -2.3926{col 82}{space 3} 2.663357
{txt}{space 21}Qatar  {c |}{col 29}{res}{space 2}-.4852979{col 41}{space 2} 1.252192{col 52}{space 1}   -0.39{col 61}{space 3}0.698{col 69}{space 4}-2.941674{col 82}{space 3} 1.971079
{txt}{space 19}Romania  {c |}{col 29}{res}{space 2}-.3881636{col 41}{space 2} 1.313792{col 52}{space 1}   -0.30{col 61}{space 3}0.768{col 69}{space 4}-2.965379{col 82}{space 3} 2.189052
{txt}{space 8}Russian Federation  {c |}{col 29}{res}{space 2}-1.719895{col 41}{space 2} 1.401205{col 52}{space 1}   -1.23{col 61}{space 3}0.220{col 69}{space 4}-4.468585{col 82}{space 3} 1.028795
{txt}{space 20}Rwanda  {c |}{col 29}{res}{space 2} .0147021{col 41}{space 2} 1.252192{col 52}{space 1}    0.01{col 61}{space 3}0.991{col 69}{space 4}-2.441674{col 82}{space 3} 2.471079
{txt}{space 14}Saudi Arabia  {c |}{col 29}{res}{space 2}-.6890363{col 41}{space 2} 1.251852{col 52}{space 1}   -0.55{col 61}{space 3}0.582{col 69}{space 4}-3.144746{col 82}{space 3} 1.766673
{txt}{space 19}Senegal  {c |}{col 29}{res}{space 2} 1.014702{col 41}{space 2} 1.252192{col 52}{space 1}    0.81{col 61}{space 3}0.418{col 69}{space 4}-1.441674{col 82}{space 3} 3.471079
{txt}{space 5}Serbia and Montenegro  {c |}{col 29}{res}{space 2} .8166662{col 41}{space 2} 1.296586{col 52}{space 1}    0.63{col 61}{space 3}0.529{col 69}{space 4}-1.726796{col 82}{space 3} 3.360128
{txt}{space 14}Sierra Leone  {c |}{col 29}{res}{space 2} .3480355{col 41}{space 2} 1.252192{col 52}{space 1}    0.28{col 61}{space 3}0.781{col 69}{space 4}-2.108341{col 82}{space 3} 2.804412
{txt}{space 18}Slovakia  {c |}{col 29}{res}{space 2} .6565548{col 41}{space 2}   1.2791{col 52}{space 1}    0.51{col 61}{space 3}0.608{col 69}{space 4}-1.852606{col 82}{space 3} 3.165716
{txt}{space 18}Slovenia  {c |}{col 29}{res}{space 2} .0614563{col 41}{space 2} 1.269714{col 52}{space 1}    0.05{col 61}{space 3}0.961{col 69}{space 4}-2.429292{col 82}{space 3} 2.552205
{txt}{space 11}Solomon Islands  {c |}{col 29}{res}{space 2} .3480355{col 41}{space 2} 1.252192{col 52}{space 1}    0.28{col 61}{space 3}0.781{col 69}{space 4}-2.108341{col 82}{space 3} 2.804412
{txt}{space 19}Somalia  {c |}{col 29}{res}{space 2} .3480355{col 41}{space 2} 1.252192{col 52}{space 1}    0.28{col 61}{space 3}0.781{col 69}{space 4}-2.108341{col 82}{space 3} 2.804412
{txt}{space 14}South Africa  {c |}{col 29}{res}{space 2} .4390893{col 41}{space 2} 1.304316{col 52}{space 1}    0.34{col 61}{space 3}0.736{col 69}{space 4}-2.119537{col 82}{space 3} 2.997715
{txt}{space 21}Spain  {c |}{col 29}{res}{space 2} 1.439748{col 41}{space 2} 1.265595{col 52}{space 1}    1.14{col 61}{space 3}0.255{col 69}{space 4} -1.04292{col 82}{space 3} 3.922416
{txt}{space 17}Sri Lanka  {c |}{col 29}{res}{space 2} 2.028034{col 41}{space 2} 1.251839{col 52}{space 1}    1.62{col 61}{space 3}0.105{col 69}{space 4}-.4276497{col 82}{space 3} 4.483719
{txt}{space 21}Sudan  {c |}{col 29}{res}{space 2} -.253263{col 41}{space 2}  1.25212{col 52}{space 1}   -0.20{col 61}{space 3}0.840{col 69}{space 4}-2.709498{col 82}{space 3} 2.202972
{txt}{space 17}Swaziland  {c |}{col 29}{res}{space 2}-1.266103{col 41}{space 2} 1.243097{col 52}{space 1}   -1.02{col 61}{space 3}0.309{col 69}{space 4}-3.704639{col 82}{space 3} 1.172432
{txt}{space 20}Sweden  {c |}{col 29}{res}{space 2} 1.707407{col 41}{space 2} 1.297791{col 52}{space 1}    1.32{col 61}{space 3}0.189{col 69}{space 4}-.8384184{col 82}{space 3} 4.253232
{txt}{space 15}Switzerland  {c |}{col 29}{res}{space 2} 4.595499{col 41}{space 2} 1.273194{col 52}{space 1}    3.61{col 61}{space 3}0.000{col 69}{space 4} 2.097925{col 82}{space 3} 7.093074
{txt}{space 21}Syria  {c |}{col 29}{res}{space 2}-1.363455{col 41}{space 2} 1.257545{col 52}{space 1}   -1.08{col 61}{space 3}0.278{col 69}{space 4}-3.830333{col 82}{space 3} 1.103423
{txt}{space 16}Tajikistan  {c |}{col 29}{res}{space 2} .0123529{col 41}{space 2} 1.240421{col 52}{space 1}    0.01{col 61}{space 3}0.992{col 69}{space 4}-2.420933{col 82}{space 3} 2.445639
{txt}{space 18}Tanzania  {c |}{col 29}{res}{space 2}-1.446365{col 41}{space 2} 1.297355{col 52}{space 1}   -1.11{col 61}{space 3}0.265{col 69}{space 4}-3.991336{col 82}{space 3} 1.098606
{txt}{space 18}Thailand  {c |}{col 29}{res}{space 2} .8618204{col 41}{space 2} 1.257155{col 52}{space 1}    0.69{col 61}{space 3}0.493{col 69}{space 4}-1.604292{col 82}{space 3} 3.327933
{txt}{space 15}Timor-Leste  {c |}{col 29}{res}{space 2}-.4852979{col 41}{space 2} 1.252192{col 52}{space 1}   -0.39{col 61}{space 3}0.698{col 69}{space 4}-2.941674{col 82}{space 3} 1.971079
{txt}{space 22}Togo  {c |}{col 29}{res}{space 2} .1813688{col 41}{space 2} 1.252192{col 52}{space 1}    0.14{col 61}{space 3}0.885{col 69}{space 4}-2.275008{col 82}{space 3} 2.637745
{txt}{space 19}Tunisia  {c |}{col 29}{res}{space 2} -1.77909{col 41}{space 2}  1.25837{col 52}{space 1}   -1.41{col 61}{space 3}0.158{col 69}{space 4}-4.247585{col 82}{space 3}  .689405
{txt}{space 20}Turkey  {c |}{col 29}{res}{space 2}-.1012161{col 41}{space 2} 1.287904{col 52}{space 1}   -0.08{col 61}{space 3}0.937{col 69}{space 4}-2.627646{col 82}{space 3} 2.425214
{txt}{space 14}Turkmenistan  {c |}{col 29}{res}{space 2} -1.12495{col 41}{space 2} 1.255697{col 52}{space 1}   -0.90{col 61}{space 3}0.370{col 69}{space 4}-3.588202{col 82}{space 3} 1.338302
{txt}{space 20}Uganda  {c |}{col 29}{res}{space 2}-.5501194{col 41}{space 2} 1.238382{col 52}{space 1}   -0.44{col 61}{space 3}0.657{col 69}{space 4}-2.979406{col 82}{space 3} 1.879167
{txt}{space 19}Ukraine  {c |}{col 29}{res}{space 2}-1.332386{col 41}{space 2} 1.342322{col 52}{space 1}   -0.99{col 61}{space 3}0.321{col 69}{space 4}-3.965568{col 82}{space 3} 1.300795
{txt}{space 6}United Arab Emirates  {c |}{col 29}{res}{space 2}-.3186312{col 41}{space 2} 1.252192{col 52}{space 1}   -0.25{col 61}{space 3}0.799{col 69}{space 4}-2.775008{col 82}{space 3} 2.137745
{txt}{space 12}United Kingdom  {c |}{col 29}{res}{space 2} 3.326451{col 41}{space 2} 1.303245{col 52}{space 1}    2.55{col 61}{space 3}0.011{col 69}{space 4} .7699268{col 82}{space 3} 5.882976
{txt}{space 16}Uzbekistan  {c |}{col 29}{res}{space 2}-1.270122{col 41}{space 2} 1.259521{col 52}{space 1}   -1.01{col 61}{space 3}0.313{col 69}{space 4}-3.740875{col 82}{space 3} 1.200632
{txt}{space 18}Viet Nam  {c |}{col 29}{res}{space 2}-.4635652{col 41}{space 2} 1.251882{col 52}{space 1}   -0.37{col 61}{space 3}0.711{col 69}{space 4}-2.919333{col 82}{space 3} 1.992202
{txt}{space 12}Western Sahara  {c |}{col 29}{res}{space 2}-.4852979{col 41}{space 2} 1.252192{col 52}{space 1}   -0.39{col 61}{space 3}0.698{col 69}{space 4}-2.941674{col 82}{space 3} 1.971079
{txt}{space 21}Yemen  {c |}{col 29}{res}{space 2} .1483212{col 41}{space 2} 1.252066{col 52}{space 1}    0.12{col 61}{space 3}0.906{col 69}{space 4}-2.307808{col 82}{space 3}  2.60445
{txt}{space 20}Zambia  {c |}{col 29}{res}{space 2}-1.114595{col 41}{space 2} 1.284267{col 52}{space 1}   -0.87{col 61}{space 3}0.386{col 69}{space 4}-3.633893{col 82}{space 3} 1.404703
{txt}{space 18}Zimbabwe  {c |}{col 29}{res}{space 2}-.9106741{col 41}{space 2} 1.248345{col 52}{space 1}   -0.73{col 61}{space 3}0.466{col 69}{space 4}-3.359505{col 82}{space 3} 1.538157
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-10.43436{col 41}{space 2} .9159377{col 52}{space 1}  -11.39{col 61}{space 3}0.000{col 69}{space 4}-12.23112{col 82}{space 3}  -8.6376
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. display (_b[ln_wpot_1700] + _b[ln_wpot_1750] + _b[ln_wpot_1800] + _b[ln_wpot_1850] + _b[ln_wpot_1900])/5
{res}.50105619
{txt}
{com}. 
. regress lead_polity city_pop_share ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900 `ln_oworld_flexible' i.year i.country

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,552
{txt}{hline 13}{c +}{hline 34}   F(163, 1388)    = {res}    16.33
{txt}       Model {c |} {res} 24154.4685       163  148.186924   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 12594.4077     1,388   9.0737808   {txt}R-squared       ={res}    0.6573
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.6170
{txt}       Total {c |} {res} 36748.8763     1,551  23.6936662   {txt}Root MSE        =   {res} 3.0123

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                lead_polity{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}city_pop_share {c |}{col 29}{res}{space 2} 12.15732{col 41}{space 2}  2.06448{col 52}{space 1}    5.89{col 61}{space 3}0.000{col 69}{space 4}  8.10748{col 82}{space 3} 16.20716
{txt}{space 15}ln_wpot_1100 {c |}{col 29}{res}{space 2} .0158711{col 41}{space 2} .1211174{col 52}{space 1}    0.13{col 61}{space 3}0.896{col 69}{space 4}-.2217218{col 82}{space 3}  .253464
{txt}{space 15}ln_wpot_1200 {c |}{col 29}{res}{space 2} .0154772{col 41}{space 2} .1211159{col 52}{space 1}    0.13{col 61}{space 3}0.898{col 69}{space 4}-.2221128{col 82}{space 3} .2530673
{txt}{space 15}ln_wpot_1300 {c |}{col 29}{res}{space 2} .0063049{col 41}{space 2} .1210921{col 52}{space 1}    0.05{col 61}{space 3}0.958{col 69}{space 4}-.2312385{col 82}{space 3} .2438483
{txt}{space 15}ln_wpot_1400 {c |}{col 29}{res}{space 2}-.0093391{col 41}{space 2}  .120907{col 52}{space 1}   -0.08{col 61}{space 3}0.938{col 69}{space 4}-.2465192{col 82}{space 3}  .227841
{txt}{space 15}ln_wpot_1500 {c |}{col 29}{res}{space 2}-.0054779{col 41}{space 2}  .120907{col 52}{space 1}   -0.05{col 61}{space 3}0.964{col 69}{space 4}-.2426581{col 82}{space 3} .2317023
{txt}{space 15}ln_wpot_1600 {c |}{col 29}{res}{space 2}  .004704{col 41}{space 2} .1209241{col 52}{space 1}    0.04{col 61}{space 3}0.969{col 69}{space 4}-.2325098{col 82}{space 3} .2419177
{txt}{space 15}ln_wpot_1700 {c |}{col 29}{res}{space 2} .1076226{col 41}{space 2} .1209579{col 52}{space 1}    0.89{col 61}{space 3}0.374{col 69}{space 4}-.1296575{col 82}{space 3} .3449026
{txt}{space 15}ln_wpot_1750 {c |}{col 29}{res}{space 2} .3574201{col 41}{space 2} .1209262{col 52}{space 1}    2.96{col 61}{space 3}0.003{col 69}{space 4} .1202023{col 82}{space 3} .5946378
{txt}{space 15}ln_wpot_1800 {c |}{col 29}{res}{space 2} .6523553{col 41}{space 2} .1209533{col 52}{space 1}    5.39{col 61}{space 3}0.000{col 69}{space 4} .4150842{col 82}{space 3} .8896263
{txt}{space 15}ln_wpot_1850 {c |}{col 29}{res}{space 2} .6790805{col 41}{space 2} .1209905{col 52}{space 1}    5.61{col 61}{space 3}0.000{col 69}{space 4} .4417366{col 82}{space 3} .9164244
{txt}{space 15}ln_wpot_1900 {c |}{col 29}{res}{space 2} .5057432{col 41}{space 2} .1235594{col 52}{space 1}    4.09{col 61}{space 3}0.000{col 69}{space 4}   .26336{col 82}{space 3} .7481265
{txt}{space 13}ln_oworld_1100 {c |}{col 29}{res}{space 2} .0142665{col 41}{space 2} .1538356{col 52}{space 1}    0.09{col 61}{space 3}0.926{col 69}{space 4}-.2875088{col 82}{space 3} .3160418
{txt}{space 13}ln_oworld_1200 {c |}{col 29}{res}{space 2}-.0060924{col 41}{space 2}   .15382{col 52}{space 1}   -0.04{col 61}{space 3}0.968{col 69}{space 4}-.3078371{col 82}{space 3} .2956523
{txt}{space 13}ln_oworld_1300 {c |}{col 29}{res}{space 2}-.0095054{col 41}{space 2} .1538249{col 52}{space 1}   -0.06{col 61}{space 3}0.951{col 69}{space 4}-.3112599{col 82}{space 3} .2922491
{txt}{space 13}ln_oworld_1400 {c |}{col 29}{res}{space 2}-.0185055{col 41}{space 2} .1538404{col 52}{space 1}   -0.12{col 61}{space 3}0.904{col 69}{space 4}-.3202904{col 82}{space 3} .2832794
{txt}{space 13}ln_oworld_1500 {c |}{col 29}{res}{space 2}-.0151295{col 41}{space 2}   .15383{col 52}{space 1}   -0.10{col 61}{space 3}0.922{col 69}{space 4}-.3168939{col 82}{space 3}  .286635
{txt}{space 13}ln_oworld_1600 {c |}{col 29}{res}{space 2}-.0375781{col 41}{space 2} .1539392{col 52}{space 1}   -0.24{col 61}{space 3}0.807{col 69}{space 4}-.3395568{col 82}{space 3} .2644006
{txt}{space 13}ln_oworld_1700 {c |}{col 29}{res}{space 2}-.0464562{col 41}{space 2}  .153816{col 52}{space 1}   -0.30{col 61}{space 3}0.763{col 69}{space 4}-.3481931{col 82}{space 3} .2552808
{txt}{space 13}ln_oworld_1750 {c |}{col 29}{res}{space 2}-.0604615{col 41}{space 2} .1538243{col 52}{space 1}   -0.39{col 61}{space 3}0.694{col 69}{space 4}-.3622146{col 82}{space 3} .2412916
{txt}{space 13}ln_oworld_1800 {c |}{col 29}{res}{space 2}-.1022358{col 41}{space 2} .1538216{col 52}{space 1}   -0.66{col 61}{space 3}0.506{col 69}{space 4}-.4039837{col 82}{space 3} .1995121
{txt}{space 13}ln_oworld_1850 {c |}{col 29}{res}{space 2} .1163911{col 41}{space 2} .1538127{col 52}{space 1}    0.76{col 61}{space 3}0.449{col 69}{space 4}-.1853393{col 82}{space 3} .4181215
{txt}{space 13}ln_oworld_1900 {c |}{col 29}{res}{space 2} .5737955{col 41}{space 2} .1538324{col 52}{space 1}    3.73{col 61}{space 3}0.000{col 69}{space 4} .2720264{col 82}{space 3} .8755646
{txt}{space 27} {c |}
{space 23}year {c |}
{space 22}1100  {c |}{col 29}{res}{space 2}-.1691636{col 41}{space 2} 1.013448{col 52}{space 1}   -0.17{col 61}{space 3}0.867{col 69}{space 4} -2.15722{col 82}{space 3} 1.818892
{txt}{space 22}1200  {c |}{col 29}{res}{space 2}-.0250266{col 41}{space 2}  1.01305{col 52}{space 1}   -0.02{col 61}{space 3}0.980{col 69}{space 4}-2.012301{col 82}{space 3} 1.962248
{txt}{space 22}1300  {c |}{col 29}{res}{space 2} .1146305{col 41}{space 2} 1.013228{col 52}{space 1}    0.11{col 61}{space 3}0.910{col 69}{space 4}-1.872993{col 82}{space 3} 2.102254
{txt}{space 22}1400  {c |}{col 29}{res}{space 2} .0979717{col 41}{space 2} 1.013156{col 52}{space 1}    0.10{col 61}{space 3}0.923{col 69}{space 4}-1.889512{col 82}{space 3} 2.085455
{txt}{space 22}1500  {c |}{col 29}{res}{space 2} .0717166{col 41}{space 2} 1.013085{col 52}{space 1}    0.07{col 61}{space 3}0.944{col 69}{space 4}-1.915626{col 82}{space 3} 2.059059
{txt}{space 22}1600  {c |}{col 29}{res}{space 2} .1759328{col 41}{space 2} 1.013485{col 52}{space 1}    0.17{col 61}{space 3}0.862{col 69}{space 4}-1.812194{col 82}{space 3}  2.16406
{txt}{space 22}1700  {c |}{col 29}{res}{space 2} .4476427{col 41}{space 2} 1.013098{col 52}{space 1}    0.44{col 61}{space 3}0.659{col 69}{space 4}-1.539726{col 82}{space 3} 2.435011
{txt}{space 22}1750  {c |}{col 29}{res}{space 2} .6555562{col 41}{space 2} 1.013115{col 52}{space 1}    0.65{col 61}{space 3}0.518{col 69}{space 4}-1.331846{col 82}{space 3} 2.642958
{txt}{space 22}1800  {c |}{col 29}{res}{space 2} .7840899{col 41}{space 2}  1.01317{col 52}{space 1}    0.77{col 61}{space 3}0.439{col 69}{space 4} -1.20342{col 82}{space 3}   2.7716
{txt}{space 22}1850  {c |}{col 29}{res}{space 2} 1.416091{col 41}{space 2} 1.013193{col 52}{space 1}    1.40{col 61}{space 3}0.162{col 69}{space 4}-.5714628{col 82}{space 3} 3.403645
{txt}{space 22}1900  {c |}{col 29}{res}{space 2} 5.196747{col 41}{space 2} 1.013079{col 52}{space 1}    5.13{col 61}{space 3}0.000{col 69}{space 4} 3.209415{col 82}{space 3} 7.184079
{txt}{space 27} {c |}
{space 20}country {c |}
{space 19}Albania  {c |}{col 29}{res}{space 2}-.1836534{col 41}{space 2} 1.243951{col 52}{space 1}   -0.15{col 61}{space 3}0.883{col 69}{space 4}-2.623881{col 82}{space 3} 2.256575
{txt}{space 19}Algeria  {c |}{col 29}{res}{space 2}-1.605006{col 41}{space 2} 1.253618{col 52}{space 1}   -1.28{col 61}{space 3}0.201{col 69}{space 4}-4.064197{col 82}{space 3} .8541848
{txt}{space 20}Angola  {c |}{col 29}{res}{space 2} -1.57303{col 41}{space 2} 1.292166{col 52}{space 1}   -1.22{col 61}{space 3}0.224{col 69}{space 4} -4.10784{col 82}{space 3} .9617798
{txt}{space 19}Armenia  {c |}{col 29}{res}{space 2}-.0790913{col 41}{space 2} 1.261136{col 52}{space 1}   -0.06{col 61}{space 3}0.950{col 69}{space 4}-2.553029{col 82}{space 3} 2.394847
{txt}{space 17}Australia  {c |}{col 29}{res}{space 2}  3.58575{col 41}{space 2} 1.336222{col 52}{space 1}    2.68{col 61}{space 3}0.007{col 69}{space 4} .9645168{col 82}{space 3} 6.206983
{txt}{space 19}Austria  {c |}{col 29}{res}{space 2} 1.496033{col 41}{space 2} 1.277773{col 52}{space 1}    1.17{col 61}{space 3}0.242{col 69}{space 4}-1.010542{col 82}{space 3} 4.002608
{txt}{space 16}Bangladesh  {c |}{col 29}{res}{space 2} 2.290959{col 41}{space 2} 1.296614{col 52}{space 1}    1.77{col 61}{space 3}0.077{col 69}{space 4}-.2525749{col 82}{space 3} 4.834493
{txt}{space 19}Belarus  {c |}{col 29}{res}{space 2}-2.183271{col 41}{space 2} 1.321405{col 52}{space 1}   -1.65{col 61}{space 3}0.099{col 69}{space 4}-4.775438{col 82}{space 3} .4088962
{txt}{space 19}Belgium  {c |}{col 29}{res}{space 2} 2.543108{col 41}{space 2} 1.266976{col 52}{space 1}    2.01{col 61}{space 3}0.045{col 69}{space 4} .0577128{col 82}{space 3} 5.028502
{txt}{space 21}Benin  {c |}{col 29}{res}{space 2} .7281924{col 41}{space 2} 1.303125{col 52}{space 1}    0.56{col 61}{space 3}0.576{col 69}{space 4}-1.828115{col 82}{space 3}   3.2845
{txt}{space 20}Bhutan  {c |}{col 29}{res}{space 2}-.5130916{col 41}{space 2} 1.282189{col 52}{space 1}   -0.40{col 61}{space 3}0.689{col 69}{space 4}-3.028328{col 82}{space 3} 2.002145
{txt}{space 4}Bosnia and Herzegovina  {c |}{col 29}{res}{space 2}-.3822709{col 41}{space 2} 1.276735{col 52}{space 1}   -0.30{col 61}{space 3}0.765{col 69}{space 4}-2.886809{col 82}{space 3} 2.122267
{txt}{space 18}Botswana  {c |}{col 29}{res}{space 2} .9427787{col 41}{space 2} 1.267245{col 52}{space 1}    0.74{col 61}{space 3}0.457{col 69}{space 4}-1.543144{col 82}{space 3} 3.428702
{txt}{space 18}Bulgaria  {c |}{col 29}{res}{space 2}-.4280575{col 41}{space 2} 1.293564{col 52}{space 1}   -0.33{col 61}{space 3}0.741{col 69}{space 4} -2.96561{col 82}{space 3} 2.109495
{txt}{space 14}Burkina Faso  {c |}{col 29}{res}{space 2} .0004164{col 41}{space 2} 1.284531{col 52}{space 1}    0.00{col 61}{space 3}1.000{col 69}{space 4}-2.519415{col 82}{space 3} 2.520247
{txt}{space 19}Burundi  {c |}{col 29}{res}{space 2}-.5525924{col 41}{space 2} 1.239216{col 52}{space 1}   -0.45{col 61}{space 3}0.656{col 69}{space 4} -2.98353{col 82}{space 3} 1.878345
{txt}{space 18}Cambodia  {c |}{col 29}{res}{space 2}-.1188216{col 41}{space 2} 1.311186{col 52}{space 1}   -0.09{col 61}{space 3}0.928{col 69}{space 4}-2.690942{col 82}{space 3} 2.453299
{txt}{space 18}Cameroon  {c |}{col 29}{res}{space 2}-.8090283{col 41}{space 2} 1.288422{col 52}{space 1}   -0.63{col 61}{space 3}0.530{col 69}{space 4}-3.336493{col 82}{space 3} 1.718436
{txt}{space 2}Central African Republic  {c |}{col 29}{res}{space 2} .5860977{col 41}{space 2} 1.367442{col 52}{space 1}    0.43{col 61}{space 3}0.668{col 69}{space 4}-2.096379{col 82}{space 3} 3.268574
{txt}{space 22}Chad  {c |}{col 29}{res}{space 2} .0519219{col 41}{space 2}  1.31217{col 52}{space 1}    0.04{col 61}{space 3}0.968{col 69}{space 4}-2.522128{col 82}{space 3} 2.625972
{txt}{space 21}China  {c |}{col 29}{res}{space 2}-1.514294{col 41}{space 2}  1.35816{col 52}{space 1}   -1.11{col 61}{space 3}0.265{col 69}{space 4}-4.178562{col 82}{space 3} 1.149974
{txt}{space 21}Congo  {c |}{col 29}{res}{space 2}-.6082569{col 41}{space 2} 1.305994{col 52}{space 1}   -0.47{col 61}{space 3}0.641{col 69}{space 4}-3.170192{col 82}{space 3} 1.953679
{txt}Congo, Democratic Republic  {c |}{col 29}{res}{space 2}-.9632936{col 41}{space 2} 1.309564{col 52}{space 1}   -0.74{col 61}{space 3}0.462{col 69}{space 4}-3.532233{col 82}{space 3} 1.605645
{txt}{space 14}Cote dIvoire  {c |}{col 29}{res}{space 2}  .520795{col 41}{space 2} 1.345481{col 52}{space 1}    0.39{col 61}{space 3}0.699{col 69}{space 4}-2.118601{col 82}{space 3} 3.160191
{txt}{space 19}Croatia  {c |}{col 29}{res}{space 2}-.2492304{col 41}{space 2} 1.269433{col 52}{space 1}   -0.20{col 61}{space 3}0.844{col 69}{space 4}-2.739445{col 82}{space 3} 2.240984
{txt}{space 12}Czech Republic  {c |}{col 29}{res}{space 2} .2862083{col 41}{space 2} 1.288901{col 52}{space 1}    0.22{col 61}{space 3}0.824{col 69}{space 4}-2.242195{col 82}{space 3} 2.814612
{txt}{space 19}Denmark  {c |}{col 29}{res}{space 2} 2.252677{col 41}{space 2} 1.284633{col 52}{space 1}    1.75{col 61}{space 3}0.080{col 69}{space 4}-.2673554{col 82}{space 3} 4.772709
{txt}{space 18}Djibouti  {c |}{col 29}{res}{space 2} .6922664{col 41}{space 2} 1.349162{col 52}{space 1}    0.51{col 61}{space 3}0.608{col 69}{space 4} -1.95435{col 82}{space 3} 3.338883
{txt}{space 21}Egypt  {c |}{col 29}{res}{space 2}-.1194461{col 41}{space 2} 1.271732{col 52}{space 1}   -0.09{col 61}{space 3}0.925{col 69}{space 4}-2.614171{col 82}{space 3} 2.375279
{txt}{space 9}Equatorial Guinea  {c |}{col 29}{res}{space 2}-.0981101{col 41}{space 2} 1.249049{col 52}{space 1}   -0.08{col 61}{space 3}0.937{col 69}{space 4}-2.548337{col 82}{space 3} 2.352117
{txt}{space 19}Eritrea  {c |}{col 29}{res}{space 2}-.0221287{col 41}{space 2}  1.24995{col 52}{space 1}   -0.02{col 61}{space 3}0.986{col 69}{space 4}-2.474124{col 82}{space 3} 2.429866
{txt}{space 19}Estonia  {c |}{col 29}{res}{space 2}-.4228768{col 41}{space 2} 1.271851{col 52}{space 1}   -0.33{col 61}{space 3}0.740{col 69}{space 4}-2.917835{col 82}{space 3} 2.072082
{txt}{space 18}Ethiopia  {c |}{col 29}{res}{space 2}-.1124434{col 41}{space 2} 1.295913{col 52}{space 1}   -0.09{col 61}{space 3}0.931{col 69}{space 4}-2.654602{col 82}{space 3} 2.429716
{txt}{space 22}Fiji  {c |}{col 29}{res}{space 2} .9422664{col 41}{space 2} 1.349162{col 52}{space 1}    0.70{col 61}{space 3}0.485{col 69}{space 4} -1.70435{col 82}{space 3} 3.588883
{txt}{space 19}Finland  {c |}{col 29}{res}{space 2} 1.862241{col 41}{space 2} 1.414044{col 52}{space 1}    1.32{col 61}{space 3}0.188{col 69}{space 4}-.9116537{col 82}{space 3} 4.636136
{txt}{space 20}France  {c |}{col 29}{res}{space 2} 3.259089{col 41}{space 2} 1.332246{col 52}{space 1}    2.45{col 61}{space 3}0.015{col 69}{space 4} .6456562{col 82}{space 3} 5.872523
{txt}{space 21}Gabon  {c |}{col 29}{res}{space 2}-.1170631{col 41}{space 2} 1.314442{col 52}{space 1}   -0.09{col 61}{space 3}0.929{col 69}{space 4}-2.695571{col 82}{space 3} 2.461444
{txt}{space 20}Gambia  {c |}{col 29}{res}{space 2}-.0674586{col 41}{space 2} 1.244197{col 52}{space 1}   -0.05{col 61}{space 3}0.957{col 69}{space 4}-2.508168{col 82}{space 3} 2.373251
{txt}{space 19}Germany  {c |}{col 29}{res}{space 2} 1.494906{col 41}{space 2} 1.327589{col 52}{space 1}    1.13{col 61}{space 3}0.260{col 69}{space 4}-1.109392{col 82}{space 3} 4.099204
{txt}{space 21}Ghana  {c |}{col 29}{res}{space 2} .3457188{col 41}{space 2} 1.329759{col 52}{space 1}    0.26{col 61}{space 3}0.795{col 69}{space 4}-2.262836{col 82}{space 3} 2.954274
{txt}{space 20}Greece  {c |}{col 29}{res}{space 2} 2.566878{col 41}{space 2} 1.269212{col 52}{space 1}    2.02{col 61}{space 3}0.043{col 69}{space 4} .0770974{col 82}{space 3} 5.056659
{txt}{space 20}Guinea  {c |}{col 29}{res}{space 2} .1383742{col 41}{space 2} 1.309167{col 52}{space 1}    0.11{col 61}{space 3}0.916{col 69}{space 4}-2.429785{col 82}{space 3} 2.706534
{txt}{space 13}Guinea-Bissau  {c |}{col 29}{res}{space 2} .7281599{col 41}{space 2} 1.251161{col 52}{space 1}    0.58{col 61}{space 3}0.561{col 69}{space 4} -1.72621{col 82}{space 3}  3.18253
{txt}{space 19}Hungary  {c |}{col 29}{res}{space 2} .3059151{col 41}{space 2}  1.28845{col 52}{space 1}    0.24{col 61}{space 3}0.812{col 69}{space 4}-2.221605{col 82}{space 3} 2.833435
{txt}{space 19}Iceland  {c |}{col 29}{res}{space 2}-.3077336{col 41}{space 2} 1.349162{col 52}{space 1}   -0.23{col 61}{space 3}0.820{col 69}{space 4} -2.95435{col 82}{space 3} 2.338883
{txt}{space 21}India  {c |}{col 29}{res}{space 2} 1.306985{col 41}{space 2} 1.287947{col 52}{space 1}    1.01{col 61}{space 3}0.310{col 69}{space 4}-1.219548{col 82}{space 3} 3.833519
{txt}{space 17}Indonesia  {c |}{col 29}{res}{space 2} 1.462242{col 41}{space 2} 1.319109{col 52}{space 1}    1.11{col 61}{space 3}0.268{col 69}{space 4}-1.125421{col 82}{space 3} 4.049906
{txt}{space 22}Iran  {c |}{col 29}{res}{space 2} .2297547{col 41}{space 2} 1.241161{col 52}{space 1}    0.19{col 61}{space 3}0.853{col 69}{space 4}-2.204999{col 82}{space 3} 2.664508
{txt}{space 22}Iraq  {c |}{col 29}{res}{space 2}-1.710061{col 41}{space 2} 1.243704{col 52}{space 1}   -1.37{col 61}{space 3}0.169{col 69}{space 4}-4.149803{col 82}{space 3} .7296811
{txt}{space 19}Ireland  {c |}{col 29}{res}{space 2} 3.853176{col 41}{space 2} 1.247188{col 52}{space 1}    3.09{col 61}{space 3}0.002{col 69}{space 4} 1.406599{col 82}{space 3} 6.299752
{txt}{space 20}Israel  {c |}{col 29}{res}{space 2} 1.227222{col 41}{space 2} 1.248464{col 52}{space 1}    0.98{col 61}{space 3}0.326{col 69}{space 4}-1.221858{col 82}{space 3} 3.676303
{txt}{space 21}Italy  {c |}{col 29}{res}{space 2} 1.174312{col 41}{space 2} 1.300252{col 52}{space 1}    0.90{col 61}{space 3}0.367{col 69}{space 4}-1.376359{col 82}{space 3} 3.724982
{txt}{space 21}Japan  {c |}{col 29}{res}{space 2} 1.434613{col 41}{space 2}  1.29811{col 52}{space 1}    1.11{col 61}{space 3}0.269{col 69}{space 4}-1.111857{col 82}{space 3} 3.981083
{txt}{space 20}Jordan  {c |}{col 29}{res}{space 2} .1121681{col 41}{space 2} 1.255108{col 52}{space 1}    0.09{col 61}{space 3}0.929{col 69}{space 4}-2.349945{col 82}{space 3} 2.574282
{txt}{space 16}Kazakhstan  {c |}{col 29}{res}{space 2} .0169447{col 41}{space 2} 1.272882{col 52}{space 1}    0.01{col 61}{space 3}0.989{col 69}{space 4}-2.480036{col 82}{space 3} 2.513925
{txt}{space 21}Kenya  {c |}{col 29}{res}{space 2}-1.320573{col 41}{space 2} 1.272802{col 52}{space 1}   -1.04{col 61}{space 3}0.300{col 69}{space 4}-3.817396{col 82}{space 3} 1.176249
{txt}{space 16}Korea, DPR  {c |}{col 29}{res}{space 2} .6855302{col 41}{space 2} 1.275527{col 52}{space 1}    0.54{col 61}{space 3}0.591{col 69}{space 4}-1.816639{col 82}{space 3} 3.187699
{txt}{space 11}Korea, Republic  {c |}{col 29}{res}{space 2} 2.624219{col 41}{space 2} 1.268206{col 52}{space 1}    2.07{col 61}{space 3}0.039{col 69}{space 4} .1364102{col 82}{space 3} 5.112027
{txt}{space 20}Kuwait  {c |}{col 29}{res}{space 2}-.0577336{col 41}{space 2} 1.349162{col 52}{space 1}   -0.04{col 61}{space 3}0.966{col 69}{space 4} -2.70435{col 82}{space 3} 2.588883
{txt}{space 16}Kyrgyzstan  {c |}{col 29}{res}{space 2}-.1647849{col 41}{space 2}  1.24476{col 52}{space 1}   -0.13{col 61}{space 3}0.895{col 69}{space 4}-2.606598{col 82}{space 3} 2.277028
{txt}{space 22}Laos  {c |}{col 29}{res}{space 2}-.5820112{col 41}{space 2}  1.28589{col 52}{space 1}   -0.45{col 61}{space 3}0.651{col 69}{space 4} -3.10451{col 82}{space 3} 1.940487
{txt}{space 20}Latvia  {c |}{col 29}{res}{space 2} -.941665{col 41}{space 2} 1.293621{col 52}{space 1}   -0.73{col 61}{space 3}0.467{col 69}{space 4}-3.479329{col 82}{space 3} 1.595999
{txt}{space 19}Lebanon  {c |}{col 29}{res}{space 2}-.2434004{col 41}{space 2} 1.244903{col 52}{space 1}   -0.20{col 61}{space 3}0.845{col 69}{space 4}-2.685495{col 82}{space 3} 2.198694
{txt}{space 19}Lesotho  {c |}{col 29}{res}{space 2}-.3902454{col 41}{space 2} 1.269421{col 52}{space 1}   -0.31{col 61}{space 3}0.759{col 69}{space 4}-2.880436{col 82}{space 3} 2.099945
{txt}{space 19}Liberia  {c |}{col 29}{res}{space 2} 2.260824{col 41}{space 2} 1.276975{col 52}{space 1}    1.77{col 61}{space 3}0.077{col 69}{space 4}-.2441854{col 82}{space 3} 4.765833
{txt}{space 21}Libya  {c |}{col 29}{res}{space 2}-.8926432{col 41}{space 2} 1.237651{col 52}{space 1}   -0.72{col 61}{space 3}0.471{col 69}{space 4}-3.320511{col 82}{space 3} 1.535225
{txt}{space 17}Lithuania  {c |}{col 29}{res}{space 2}-1.190145{col 41}{space 2} 1.294773{col 52}{space 1}   -0.92{col 61}{space 3}0.358{col 69}{space 4}-3.730069{col 82}{space 3} 1.349778
{txt}{space 17}Macedonia  {c |}{col 29}{res}{space 2}-.7994116{col 41}{space 2} 1.247268{col 52}{space 1}   -0.64{col 61}{space 3}0.522{col 69}{space 4}-3.246145{col 82}{space 3} 1.647322
{txt}{space 16}Madagascar  {c |}{col 29}{res}{space 2}-.4432396{col 41}{space 2}  1.26944{col 52}{space 1}   -0.35{col 61}{space 3}0.727{col 69}{space 4}-2.933467{col 82}{space 3} 2.046988
{txt}{space 20}Malawi  {c |}{col 29}{res}{space 2}-.4889756{col 41}{space 2} 1.259565{col 52}{space 1}   -0.39{col 61}{space 3}0.698{col 69}{space 4}-2.959833{col 82}{space 3} 1.981882
{txt}{space 18}Malaysia  {c |}{col 29}{res}{space 2} .4955412{col 41}{space 2} 1.252834{col 52}{space 1}    0.40{col 61}{space 3}0.693{col 69}{space 4}-1.962111{col 82}{space 3} 2.953193
{txt}{space 22}Mali  {c |}{col 29}{res}{space 2} .5288947{col 41}{space 2} 1.289283{col 52}{space 1}    0.41{col 61}{space 3}0.682{col 69}{space 4}-2.000259{col 82}{space 3} 3.058049
{txt}{space 16}Mauritania  {c |}{col 29}{res}{space 2} -.061713{col 41}{space 2}  1.26992{col 52}{space 1}   -0.05{col 61}{space 3}0.961{col 69}{space 4}-2.552884{col 82}{space 3} 2.429458
{txt}{space 19}Moldova  {c |}{col 29}{res}{space 2}-.4708513{col 41}{space 2} 1.262659{col 52}{space 1}   -0.37{col 61}{space 3}0.709{col 69}{space 4}-2.947777{col 82}{space 3} 2.006074
{txt}{space 18}Mongolia  {c |}{col 29}{res}{space 2} 1.347885{col 41}{space 2} 1.265757{col 52}{space 1}    1.06{col 61}{space 3}0.287{col 69}{space 4}-1.135118{col 82}{space 3} 3.830889
{txt}{space 19}Morocco  {c |}{col 29}{res}{space 2}-1.828225{col 41}{space 2}  1.27771{col 52}{space 1}   -1.43{col 61}{space 3}0.153{col 69}{space 4}-4.334675{col 82}{space 3}  .678226
{txt}{space 16}Mozambique  {c |}{col 29}{res}{space 2}-.4886357{col 41}{space 2} 1.285268{col 52}{space 1}   -0.38{col 61}{space 3}0.704{col 69}{space 4}-3.009913{col 82}{space 3} 2.032642
{txt}{space 19}Myanmar  {c |}{col 29}{res}{space 2}-.1932455{col 41}{space 2} 1.268602{col 52}{space 1}   -0.15{col 61}{space 3}0.879{col 69}{space 4}-2.681831{col 82}{space 3}  2.29534
{txt}{space 19}Namibia  {c |}{col 29}{res}{space 2} .8263865{col 41}{space 2} 1.247141{col 52}{space 1}    0.66{col 61}{space 3}0.508{col 69}{space 4}-1.620098{col 82}{space 3} 3.272871
{txt}{space 21}Nepal  {c |}{col 29}{res}{space 2} 2.441039{col 41}{space 2}  1.23797{col 52}{space 1}    1.97{col 61}{space 3}0.049{col 69}{space 4} .0125449{col 82}{space 3} 4.869532
{txt}{space 15}Netherlands  {c |}{col 29}{res}{space 2} 2.921748{col 41}{space 2} 1.249739{col 52}{space 1}    2.34{col 61}{space 3}0.020{col 69}{space 4} .4701668{col 82}{space 3} 5.373329
{txt}{space 15}New Zealand  {c |}{col 29}{res}{space 2} 4.266544{col 41}{space 2} 1.399934{col 52}{space 1}    3.05{col 61}{space 3}0.002{col 69}{space 4} 1.520328{col 82}{space 3}  7.01276
{txt}{space 21}Niger  {c |}{col 29}{res}{space 2} .4411453{col 41}{space 2} 1.244339{col 52}{space 1}    0.35{col 61}{space 3}0.723{col 69}{space 4}-1.999842{col 82}{space 3} 2.882133
{txt}{space 19}Nigeria  {c |}{col 29}{res}{space 2}-.4731445{col 41}{space 2} 1.289992{col 52}{space 1}   -0.37{col 61}{space 3}0.714{col 69}{space 4}-3.003688{col 82}{space 3} 2.057399
{txt}{space 20}Norway  {c |}{col 29}{res}{space 2}  3.47856{col 41}{space 2} 1.266523{col 52}{space 1}    2.75{col 61}{space 3}0.006{col 69}{space 4} .9940539{col 82}{space 3} 5.963065
{txt}{space 22}Oman  {c |}{col 29}{res}{space 2} 1.007622{col 41}{space 2} 1.348977{col 52}{space 1}    0.75{col 61}{space 3}0.455{col 69}{space 4}-1.638632{col 82}{space 3} 3.653876
{txt}{space 18}Pakistan  {c |}{col 29}{res}{space 2}-.1097516{col 41}{space 2} 1.244031{col 52}{space 1}   -0.09{col 61}{space 3}0.930{col 69}{space 4}-2.550135{col 82}{space 3} 2.330632
{txt}{space 10}Papua New Guinea  {c |}{col 29}{res}{space 2} .6081739{col 41}{space 2} 1.267992{col 52}{space 1}    0.48{col 61}{space 3}0.632{col 69}{space 4}-1.879213{col 82}{space 3} 3.095561
{txt}{space 15}Philippines  {c |}{col 29}{res}{space 2} 2.037835{col 41}{space 2} 1.297614{col 52}{space 1}    1.57{col 61}{space 3}0.117{col 69}{space 4}-.5076624{col 82}{space 3} 4.583332
{txt}{space 20}Poland  {c |}{col 29}{res}{space 2} -.862175{col 41}{space 2} 1.324525{col 52}{space 1}   -0.65{col 61}{space 3}0.515{col 69}{space 4}-3.460462{col 82}{space 3} 1.736112
{txt}{space 18}Portugal  {c |}{col 29}{res}{space 2} .1259794{col 41}{space 2} 1.280392{col 52}{space 1}    0.10{col 61}{space 3}0.922{col 69}{space 4}-2.385732{col 82}{space 3} 2.637691
{txt}{space 21}Qatar  {c |}{col 29}{res}{space 2}-.3077336{col 41}{space 2} 1.349162{col 52}{space 1}   -0.23{col 61}{space 3}0.820{col 69}{space 4} -2.95435{col 82}{space 3} 2.338883
{txt}{space 19}Romania  {c |}{col 29}{res}{space 2}-.4102275{col 41}{space 2} 1.308377{col 52}{space 1}   -0.31{col 61}{space 3}0.754{col 69}{space 4}-2.976837{col 82}{space 3} 2.156382
{txt}{space 8}Russian Federation  {c |}{col 29}{res}{space 2}  -1.7884{col 41}{space 2} 1.411868{col 52}{space 1}   -1.27{col 61}{space 3}0.205{col 69}{space 4}-4.558025{col 82}{space 3} .9812246
{txt}{space 20}Rwanda  {c |}{col 29}{res}{space 2} .0501672{col 41}{space 2} 1.247132{col 52}{space 1}    0.04{col 61}{space 3}0.968{col 69}{space 4}  -2.3963{col 82}{space 3} 2.496634
{txt}{space 14}Saudi Arabia  {c |}{col 29}{res}{space 2} -.519712{col 41}{space 2} 1.349026{col 52}{space 1}   -0.39{col 61}{space 3}0.700{col 69}{space 4}-3.166061{col 82}{space 3} 2.126637
{txt}{space 19}Senegal  {c |}{col 29}{res}{space 2} .9691658{col 41}{space 2} 1.254384{col 52}{space 1}    0.77{col 61}{space 3}0.440{col 69}{space 4}-1.491527{col 82}{space 3} 3.429859
{txt}{space 5}Serbia and Montenegro  {c |}{col 29}{res}{space 2}  .817142{col 41}{space 2} 1.288418{col 52}{space 1}    0.63{col 61}{space 3}0.526{col 69}{space 4}-1.710316{col 82}{space 3} 3.344599
{txt}{space 14}Sierra Leone  {c |}{col 29}{res}{space 2} .2553207{col 41}{space 2} 1.280877{col 52}{space 1}    0.20{col 61}{space 3}0.842{col 69}{space 4}-2.257343{col 82}{space 3} 2.767985
{txt}{space 18}Slovakia  {c |}{col 29}{res}{space 2} .6762363{col 41}{space 2} 1.271111{col 52}{space 1}    0.53{col 61}{space 3}0.595{col 69}{space 4} -1.81727{col 82}{space 3} 3.169743
{txt}{space 18}Slovenia  {c |}{col 29}{res}{space 2} .1060005{col 41}{space 2} 1.265493{col 52}{space 1}    0.08{col 61}{space 3}0.933{col 69}{space 4}-2.376486{col 82}{space 3} 2.588486
{txt}{space 11}Solomon Islands  {c |}{col 29}{res}{space 2} .4439737{col 41}{space 2} 1.273527{col 52}{space 1}    0.35{col 61}{space 3}0.727{col 69}{space 4}-2.054271{col 82}{space 3} 2.942219
{txt}{space 19}Somalia  {c |}{col 29}{res}{space 2}  .339177{col 41}{space 2}  1.24501{col 52}{space 1}    0.27{col 61}{space 3}0.785{col 69}{space 4}-2.103127{col 82}{space 3} 2.781481
{txt}{space 14}South Africa  {c |}{col 29}{res}{space 2} .4296964{col 41}{space 2}  1.29722{col 52}{space 1}    0.33{col 61}{space 3}0.741{col 69}{space 4}-2.115026{col 82}{space 3} 2.974419
{txt}{space 21}Spain  {c |}{col 29}{res}{space 2} 1.386079{col 41}{space 2} 1.262316{col 52}{space 1}    1.10{col 61}{space 3}0.272{col 69}{space 4}-1.090173{col 82}{space 3} 3.862331
{txt}{space 17}Sri Lanka  {c |}{col 29}{res}{space 2} 1.944074{col 41}{space 2}  1.27035{col 52}{space 1}    1.53{col 61}{space 3}0.126{col 69}{space 4}-.5479393{col 82}{space 3} 4.436087
{txt}{space 21}Sudan  {c |}{col 29}{res}{space 2}-.4202297{col 41}{space 2} 1.352097{col 52}{space 1}   -0.31{col 61}{space 3}0.756{col 69}{space 4}-3.072604{col 82}{space 3} 2.232144
{txt}{space 17}Swaziland  {c |}{col 29}{res}{space 2}-1.204784{col 41}{space 2} 1.245016{col 52}{space 1}   -0.97{col 61}{space 3}0.333{col 69}{space 4}-3.647099{col 82}{space 3} 1.237532
{txt}{space 20}Sweden  {c |}{col 29}{res}{space 2} 1.703443{col 41}{space 2} 1.289652{col 52}{space 1}    1.32{col 61}{space 3}0.187{col 69}{space 4}-.8264342{col 82}{space 3}  4.23332
{txt}{space 15}Switzerland  {c |}{col 29}{res}{space 2} 4.631969{col 41}{space 2} 1.268543{col 52}{space 1}    3.65{col 61}{space 3}0.000{col 69}{space 4}   2.1435{col 82}{space 3} 7.120438
{txt}{space 21}Syria  {c |}{col 29}{res}{space 2}-1.412058{col 41}{space 2} 1.250183{col 52}{space 1}   -1.13{col 61}{space 3}0.259{col 69}{space 4}-3.864511{col 82}{space 3} 1.040395
{txt}{space 16}Tajikistan  {c |}{col 29}{res}{space 2}-.0145016{col 41}{space 2} 1.237005{col 52}{space 1}   -0.01{col 61}{space 3}0.991{col 69}{space 4}-2.441103{col 82}{space 3}   2.4121
{txt}{space 18}Tanzania  {c |}{col 29}{res}{space 2}-1.489079{col 41}{space 2} 1.299624{col 52}{space 1}   -1.15{col 61}{space 3}0.252{col 69}{space 4}-4.038518{col 82}{space 3} 1.060361
{txt}{space 18}Thailand  {c |}{col 29}{res}{space 2} .6761916{col 41}{space 2} 1.340198{col 52}{space 1}    0.50{col 61}{space 3}0.614{col 69}{space 4}-1.952841{col 82}{space 3} 3.305224
{txt}{space 15}Timor-Leste  {c |}{col 29}{res}{space 2} -.522029{col 41}{space 2} 1.251222{col 52}{space 1}   -0.42{col 61}{space 3}0.677{col 69}{space 4} -2.97652{col 82}{space 3} 1.932462
{txt}{space 22}Togo  {c |}{col 29}{res}{space 2} .0843215{col 41}{space 2} 1.284096{col 52}{space 1}    0.07{col 61}{space 3}0.948{col 69}{space 4}-2.434657{col 82}{space 3}   2.6033
{txt}{space 19}Tunisia  {c |}{col 29}{res}{space 2}-1.788594{col 41}{space 2} 1.250477{col 52}{space 1}   -1.43{col 61}{space 3}0.153{col 69}{space 4}-4.241624{col 82}{space 3} .6644355
{txt}{space 20}Turkey  {c |}{col 29}{res}{space 2}-.1789732{col 41}{space 2} 1.289787{col 52}{space 1}   -0.14{col 61}{space 3}0.890{col 69}{space 4}-2.709115{col 82}{space 3} 2.351169
{txt}{space 14}Turkmenistan  {c |}{col 29}{res}{space 2}-1.047412{col 41}{space 2} 1.284814{col 52}{space 1}   -0.82{col 61}{space 3}0.415{col 69}{space 4}-3.567798{col 82}{space 3} 1.472975
{txt}{space 20}Uganda  {c |}{col 29}{res}{space 2}-.6382549{col 41}{space 2} 1.265642{col 52}{space 1}   -0.50{col 61}{space 3}0.614{col 69}{space 4}-3.121032{col 82}{space 3} 1.844522
{txt}{space 19}Ukraine  {c |}{col 29}{res}{space 2}-1.374819{col 41}{space 2} 1.341949{col 52}{space 1}   -1.02{col 61}{space 3}0.306{col 69}{space 4}-4.007286{col 82}{space 3} 1.257648
{txt}{space 6}United Arab Emirates  {c |}{col 29}{res}{space 2}-.1410669{col 41}{space 2} 1.349162{col 52}{space 1}   -0.10{col 61}{space 3}0.917{col 69}{space 4}-2.787683{col 82}{space 3} 2.505549
{txt}{space 12}United Kingdom  {c |}{col 29}{res}{space 2} 3.267108{col 41}{space 2} 1.298353{col 52}{space 1}    2.52{col 61}{space 3}0.012{col 69}{space 4} .7201629{col 82}{space 3} 5.814053
{txt}{space 16}Uzbekistan  {c |}{col 29}{res}{space 2}-1.391651{col 41}{space 2} 1.280852{col 52}{space 1}   -1.09{col 61}{space 3}0.277{col 69}{space 4}-3.904265{col 82}{space 3} 1.120964
{txt}{space 18}Viet Nam  {c |}{col 29}{res}{space 2}-.5846084{col 41}{space 2} 1.295583{col 52}{space 1}   -0.45{col 61}{space 3}0.652{col 69}{space 4}-3.126121{col 82}{space 3} 1.956904
{txt}{space 12}Western Sahara  {c |}{col 29}{res}{space 2}-.3077336{col 41}{space 2} 1.349162{col 52}{space 1}   -0.23{col 61}{space 3}0.820{col 69}{space 4} -2.95435{col 82}{space 3} 2.338883
{txt}{space 21}Yemen  {c |}{col 29}{res}{space 2} .3245489{col 41}{space 2} 1.349074{col 52}{space 1}    0.24{col 61}{space 3}0.810{col 69}{space 4}-2.321896{col 82}{space 3} 2.970994
{txt}{space 20}Zambia  {c |}{col 29}{res}{space 2}-1.161965{col 41}{space 2} 1.288915{col 52}{space 1}   -0.90{col 61}{space 3}0.367{col 69}{space 4}-3.690396{col 82}{space 3} 1.366466
{txt}{space 18}Zimbabwe  {c |}{col 29}{res}{space 2}-.8852153{col 41}{space 2} 1.241108{col 52}{space 1}   -0.71{col 61}{space 3}0.476{col 69}{space 4}-3.319866{col 82}{space 3} 1.549436
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-10.42278{col 41}{space 2} .9118321{col 52}{space 1}  -11.43{col 61}{space 3}0.000{col 69}{space 4} -12.2115{col 82}{space 3}-8.634064
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. display (_b[ln_wpot_1700] + _b[ln_wpot_1750] + _b[ln_wpot_1800] + _b[ln_wpot_1850] + _b[ln_wpot_1900])/5
{res}.46044433
{txt}
{com}. 
. regress lead_polity city_pop_share ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900 `ln_oworld_flexible' `ln_tropical_flexible' `ln_rugged_flexible' `ln_elevation_flexible' i.year i.country

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,552
{txt}{hline 13}{c +}{hline 34}   F(196, 1355)    = {res}    15.04
{txt}       Model {c |} {res} 25178.7171       196  128.462842   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 11570.1592     1,355   8.5388629   {txt}R-squared       ={res}    0.6852
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.6396
{txt}       Total {c |} {res} 36748.8763     1,551  23.6936662   {txt}Root MSE        =   {res} 2.9221

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                lead_polity{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}city_pop_share {c |}{col 29}{res}{space 2} 9.792392{col 41}{space 2} 2.065342{col 52}{space 1}    4.74{col 61}{space 3}0.000{col 69}{space 4} 5.740778{col 82}{space 3} 13.84401
{txt}{space 15}ln_wpot_1100 {c |}{col 29}{res}{space 2}  .006097{col 41}{space 2} .1533229{col 52}{space 1}    0.04{col 61}{space 3}0.968{col 69}{space 4}-.2946791{col 82}{space 3}  .306873
{txt}{space 15}ln_wpot_1200 {c |}{col 29}{res}{space 2} .0114583{col 41}{space 2} .1533366{col 52}{space 1}    0.07{col 61}{space 3}0.940{col 69}{space 4}-.2893445{col 82}{space 3} .3122611
{txt}{space 15}ln_wpot_1300 {c |}{col 29}{res}{space 2}-.0128175{col 41}{space 2} .1533413{col 52}{space 1}   -0.08{col 61}{space 3}0.933{col 69}{space 4}-.3136297{col 82}{space 3} .2879947
{txt}{space 15}ln_wpot_1400 {c |}{col 29}{res}{space 2}-.0063693{col 41}{space 2} .1532473{col 52}{space 1}   -0.04{col 61}{space 3}0.967{col 69}{space 4} -.306997{col 82}{space 3} .2942584
{txt}{space 15}ln_wpot_1500 {c |}{col 29}{res}{space 2}-.0042552{col 41}{space 2}  .153242{col 52}{space 1}   -0.03{col 61}{space 3}0.978{col 69}{space 4}-.3048726{col 82}{space 3} .2963622
{txt}{space 15}ln_wpot_1600 {c |}{col 29}{res}{space 2} .0035319{col 41}{space 2} .1532339{col 52}{space 1}    0.02{col 61}{space 3}0.982{col 69}{space 4}-.2970695{col 82}{space 3} .3041333
{txt}{space 15}ln_wpot_1700 {c |}{col 29}{res}{space 2} .0793224{col 41}{space 2} .1533027{col 52}{space 1}    0.52{col 61}{space 3}0.605{col 69}{space 4} -.221414{col 82}{space 3} .3800587
{txt}{space 15}ln_wpot_1750 {c |}{col 29}{res}{space 2} .2104047{col 41}{space 2} .1532586{col 52}{space 1}    1.37{col 61}{space 3}0.170{col 69}{space 4}-.0902453{col 82}{space 3} .5110546
{txt}{space 15}ln_wpot_1800 {c |}{col 29}{res}{space 2} .4009221{col 41}{space 2} .1532766{col 52}{space 1}    2.62{col 61}{space 3}0.009{col 69}{space 4} .1002369{col 82}{space 3} .7016073
{txt}{space 15}ln_wpot_1850 {c |}{col 29}{res}{space 2} .2406953{col 41}{space 2} .1533698{col 52}{space 1}    1.57{col 61}{space 3}0.117{col 69}{space 4}-.0601727{col 82}{space 3} .5415634
{txt}{space 15}ln_wpot_1900 {c |}{col 29}{res}{space 2}  .296871{col 41}{space 2} .1546272{col 52}{space 1}    1.92{col 61}{space 3}0.055{col 69}{space 4}-.0064637{col 82}{space 3} .6002057
{txt}{space 13}ln_oworld_1100 {c |}{col 29}{res}{space 2} .0213739{col 41}{space 2} .2030097{col 52}{space 1}    0.11{col 61}{space 3}0.916{col 69}{space 4}-.3768735{col 82}{space 3} .4196213
{txt}{space 13}ln_oworld_1200 {c |}{col 29}{res}{space 2}-.0031625{col 41}{space 2} .2029607{col 52}{space 1}   -0.02{col 61}{space 3}0.988{col 69}{space 4}-.4013139{col 82}{space 3} .3949889
{txt}{space 13}ln_oworld_1300 {c |}{col 29}{res}{space 2} .0175378{col 41}{space 2} .2029933{col 52}{space 1}    0.09{col 61}{space 3}0.931{col 69}{space 4}-.3806775{col 82}{space 3} .4157532
{txt}{space 13}ln_oworld_1400 {c |}{col 29}{res}{space 2}-.0166303{col 41}{space 2} .2026903{col 52}{space 1}   -0.08{col 61}{space 3}0.935{col 69}{space 4}-.4142512{col 82}{space 3} .3809906
{txt}{space 13}ln_oworld_1500 {c |}{col 29}{res}{space 2}-.0118959{col 41}{space 2}  .202689{col 52}{space 1}   -0.06{col 61}{space 3}0.953{col 69}{space 4}-.4095141{col 82}{space 3} .3857223
{txt}{space 13}ln_oworld_1600 {c |}{col 29}{res}{space 2}-.0303343{col 41}{space 2}  .202722{col 52}{space 1}   -0.15{col 61}{space 3}0.881{col 69}{space 4}-.4280173{col 82}{space 3} .3673487
{txt}{space 13}ln_oworld_1700 {c |}{col 29}{res}{space 2} .0068526{col 41}{space 2} .2026889{col 52}{space 1}    0.03{col 61}{space 3}0.973{col 69}{space 4}-.3907655{col 82}{space 3} .4044708
{txt}{space 13}ln_oworld_1750 {c |}{col 29}{res}{space 2} .1597837{col 41}{space 2} .2026952{col 52}{space 1}    0.79{col 61}{space 3}0.431{col 69}{space 4}-.2378467{col 82}{space 3} .5574142
{txt}{space 13}ln_oworld_1800 {c |}{col 29}{res}{space 2} .2670282{col 41}{space 2} .2026974{col 52}{space 1}    1.32{col 61}{space 3}0.188{col 69}{space 4}-.1306067{col 82}{space 3}  .664663
{txt}{space 13}ln_oworld_1850 {c |}{col 29}{res}{space 2} .7715544{col 41}{space 2} .2026936{col 52}{space 1}    3.81{col 61}{space 3}0.000{col 69}{space 4} .3739271{col 82}{space 3} 1.169182
{txt}{space 13}ln_oworld_1900 {c |}{col 29}{res}{space 2} .9291243{col 41}{space 2} .2027457{col 52}{space 1}    4.58{col 61}{space 3}0.000{col 69}{space 4} .5313948{col 82}{space 3} 1.326854
{txt}{space 11}ln_tropical_1100 {c |}{col 29}{res}{space 2} .0006069{col 41}{space 2} .1067856{col 52}{space 1}    0.01{col 61}{space 3}0.995{col 69}{space 4}-.2088761{col 82}{space 3} .2100899
{txt}{space 11}ln_tropical_1200 {c |}{col 29}{res}{space 2} .0017772{col 41}{space 2} .1067861{col 52}{space 1}    0.02{col 61}{space 3}0.987{col 69}{space 4}-.2077069{col 82}{space 3} .2112613
{txt}{space 11}ln_tropical_1300 {c |}{col 29}{res}{space 2}-.0148472{col 41}{space 2} .1068314{col 52}{space 1}   -0.14{col 61}{space 3}0.889{col 69}{space 4}-.2244201{col 82}{space 3} .1947257
{txt}{space 11}ln_tropical_1400 {c |}{col 29}{res}{space 2} .0073705{col 41}{space 2} .1065665{col 52}{space 1}    0.07{col 61}{space 3}0.945{col 69}{space 4}-.2016828{col 82}{space 3} .2164238
{txt}{space 11}ln_tropical_1500 {c |}{col 29}{res}{space 2}  .002119{col 41}{space 2} .1065733{col 52}{space 1}    0.02{col 61}{space 3}0.984{col 69}{space 4}-.2069477{col 82}{space 3} .2111856
{txt}{space 11}ln_tropical_1600 {c |}{col 29}{res}{space 2}-.0016519{col 41}{space 2} .1065853{col 52}{space 1}   -0.02{col 61}{space 3}0.988{col 69}{space 4} -.210742{col 82}{space 3} .2074383
{txt}{space 11}ln_tropical_1700 {c |}{col 29}{res}{space 2}-.0284018{col 41}{space 2} .1065679{col 52}{space 1}   -0.27{col 61}{space 3}0.790{col 69}{space 4}-.2374579{col 82}{space 3} .1806543
{txt}{space 11}ln_tropical_1750 {c |}{col 29}{res}{space 2}-.1294589{col 41}{space 2} .1065678{col 52}{space 1}   -1.21{col 61}{space 3}0.225{col 69}{space 4}-.3385146{col 82}{space 3} .0795968
{txt}{space 11}ln_tropical_1800 {c |}{col 29}{res}{space 2}-.1872465{col 41}{space 2}   .10657{col 52}{space 1}   -1.76{col 61}{space 3}0.079{col 69}{space 4}-.3963065{col 82}{space 3} .0218135
{txt}{space 11}ln_tropical_1850 {c |}{col 29}{res}{space 2}-.3010568{col 41}{space 2} .1065698{col 52}{space 1}   -2.82{col 61}{space 3}0.005{col 69}{space 4}-.5101165{col 82}{space 3} -.091997
{txt}{space 11}ln_tropical_1900 {c |}{col 29}{res}{space 2}-.1764203{col 41}{space 2} .1068146{col 52}{space 1}   -1.65{col 61}{space 3}0.099{col 69}{space 4}-.3859602{col 82}{space 3} .0331195
{txt}{space 13}ln_rugged_1100 {c |}{col 29}{res}{space 2} .1001689{col 41}{space 2}  .517344{col 52}{space 1}    0.19{col 61}{space 3}0.847{col 69}{space 4}-.9147133{col 82}{space 3} 1.115051
{txt}{space 13}ln_rugged_1200 {c |}{col 29}{res}{space 2} .0371501{col 41}{space 2} .5169718{col 52}{space 1}    0.07{col 61}{space 3}0.943{col 69}{space 4}-.9770019{col 82}{space 3} 1.051302
{txt}{space 13}ln_rugged_1300 {c |}{col 29}{res}{space 2} .0659638{col 41}{space 2} .5170997{col 52}{space 1}    0.13{col 61}{space 3}0.899{col 69}{space 4} -.948439{col 82}{space 3} 1.080367
{txt}{space 13}ln_rugged_1400 {c |}{col 29}{res}{space 2} .0680929{col 41}{space 2} .5161584{col 52}{space 1}    0.13{col 61}{space 3}0.895{col 69}{space 4}-.9444634{col 82}{space 3} 1.080649
{txt}{space 13}ln_rugged_1500 {c |}{col 29}{res}{space 2} .0275428{col 41}{space 2} .5158929{col 52}{space 1}    0.05{col 61}{space 3}0.957{col 69}{space 4}-.9844926{col 82}{space 3} 1.039578
{txt}{space 13}ln_rugged_1600 {c |}{col 29}{res}{space 2}-.0203936{col 41}{space 2} .5157618{col 52}{space 1}   -0.04{col 61}{space 3}0.968{col 69}{space 4}-1.032172{col 82}{space 3} .9913847
{txt}{space 13}ln_rugged_1700 {c |}{col 29}{res}{space 2} .1646998{col 41}{space 2} .5160537{col 52}{space 1}    0.32{col 61}{space 3}0.750{col 69}{space 4}-.8476512{col 82}{space 3} 1.177051
{txt}{space 13}ln_rugged_1750 {c |}{col 29}{res}{space 2}  .567865{col 41}{space 2} .5158626{col 52}{space 1}    1.10{col 61}{space 3}0.271{col 69}{space 4}-.4441111{col 82}{space 3} 1.579841
{txt}{space 13}ln_rugged_1800 {c |}{col 29}{res}{space 2} 1.308443{col 41}{space 2} .5158529{col 52}{space 1}    2.54{col 61}{space 3}0.011{col 69}{space 4} .2964859{col 82}{space 3}   2.3204
{txt}{space 13}ln_rugged_1850 {c |}{col 29}{res}{space 2} 2.730234{col 41}{space 2}  .515896{col 52}{space 1}    5.29{col 61}{space 3}0.000{col 69}{space 4} 1.718192{col 82}{space 3} 3.742275
{txt}{space 13}ln_rugged_1900 {c |}{col 29}{res}{space 2} 1.371751{col 41}{space 2} .5159102{col 52}{space 1}    2.66{col 61}{space 3}0.008{col 69}{space 4} .3596819{col 82}{space 3} 2.383821
{txt}{space 10}ln_elevation_1100 {c |}{col 29}{res}{space 2}-.0638631{col 41}{space 2} .5114758{col 52}{space 1}   -0.12{col 61}{space 3}0.901{col 69}{space 4}-1.067234{col 82}{space 3} .9395073
{txt}{space 10}ln_elevation_1200 {c |}{col 29}{res}{space 2}-.0301638{col 41}{space 2}  .511338{col 52}{space 1}   -0.06{col 61}{space 3}0.953{col 69}{space 4}-1.033264{col 82}{space 3} .9729364
{txt}{space 10}ln_elevation_1300 {c |}{col 29}{res}{space 2}-.0393867{col 41}{space 2} .5113659{col 52}{space 1}   -0.08{col 61}{space 3}0.939{col 69}{space 4}-1.042542{col 82}{space 3} .9637681
{txt}{space 10}ln_elevation_1400 {c |}{col 29}{res}{space 2} -.000657{col 41}{space 2} .5110136{col 52}{space 1}   -0.00{col 61}{space 3}0.999{col 69}{space 4}-1.003121{col 82}{space 3} 1.001807
{txt}{space 10}ln_elevation_1500 {c |}{col 29}{res}{space 2}-.0288761{col 41}{space 2} .5111037{col 52}{space 1}   -0.06{col 61}{space 3}0.955{col 69}{space 4}-1.031517{col 82}{space 3} .9737643
{txt}{space 10}ln_elevation_1600 {c |}{col 29}{res}{space 2} .0378544{col 41}{space 2} .5110026{col 52}{space 1}    0.07{col 61}{space 3}0.941{col 69}{space 4}-.9645878{col 82}{space 3} 1.040297
{txt}{space 10}ln_elevation_1700 {c |}{col 29}{res}{space 2} -.337864{col 41}{space 2} .5110531{col 52}{space 1}   -0.66{col 61}{space 3}0.509{col 69}{space 4}-1.340405{col 82}{space 3} .6646772
{txt}{space 10}ln_elevation_1750 {c |}{col 29}{res}{space 2}-.7269203{col 41}{space 2} .5111258{col 52}{space 1}   -1.42{col 61}{space 3}0.155{col 69}{space 4}-1.729604{col 82}{space 3} .2757634
{txt}{space 10}ln_elevation_1800 {c |}{col 29}{res}{space 2}-1.129363{col 41}{space 2}  .511162{col 52}{space 1}   -2.21{col 61}{space 3}0.027{col 69}{space 4}-2.132118{col 82}{space 3}-.1266081
{txt}{space 10}ln_elevation_1850 {c |}{col 29}{res}{space 2}-3.137228{col 41}{space 2} .5111913{col 52}{space 1}   -6.14{col 61}{space 3}0.000{col 69}{space 4}-4.140041{col 82}{space 3}-2.134416
{txt}{space 10}ln_elevation_1900 {c |}{col 29}{res}{space 2}-2.034652{col 41}{space 2} .5131725{col 52}{space 1}   -3.96{col 61}{space 3}0.000{col 69}{space 4}-3.041351{col 82}{space 3}-1.027953
{txt}{space 27} {c |}
{space 23}year {c |}
{space 22}1100  {c |}{col 29}{res}{space 2} .2188084{col 41}{space 2} 3.128103{col 52}{space 1}    0.07{col 61}{space 3}0.944{col 69}{space 4}-5.917642{col 82}{space 3} 6.355259
{txt}{space 22}1200  {c |}{col 29}{res}{space 2} .1524383{col 41}{space 2} 3.127928{col 52}{space 1}    0.05{col 61}{space 3}0.961{col 69}{space 4}-5.983668{col 82}{space 3} 6.288545
{txt}{space 22}1300  {c |}{col 29}{res}{space 2} .2879265{col 41}{space 2} 3.128352{col 52}{space 1}    0.09{col 61}{space 3}0.927{col 69}{space 4}-5.849012{col 82}{space 3} 6.424865
{txt}{space 22}1400  {c |}{col 29}{res}{space 2} .0758267{col 41}{space 2} 3.126474{col 52}{space 1}    0.02{col 61}{space 3}0.981{col 69}{space 4}-6.057429{col 82}{space 3} 6.209082
{txt}{space 22}1500  {c |}{col 29}{res}{space 2} .2258901{col 41}{space 2} 3.127052{col 52}{space 1}    0.07{col 61}{space 3}0.942{col 69}{space 4}-5.908499{col 82}{space 3} 6.360279
{txt}{space 22}1600  {c |}{col 29}{res}{space 2}-.0808609{col 41}{space 2} 3.126213{col 52}{space 1}   -0.03{col 61}{space 3}0.979{col 69}{space 4}-6.213603{col 82}{space 3} 6.051882
{txt}{space 22}1700  {c |}{col 29}{res}{space 2} 2.361462{col 41}{space 2} 3.126411{col 52}{space 1}    0.76{col 61}{space 3}0.450{col 69}{space 4} -3.77167{col 82}{space 3} 8.494594
{txt}{space 22}1750  {c |}{col 29}{res}{space 2} 4.631629{col 41}{space 2} 3.126699{col 52}{space 1}    1.48{col 61}{space 3}0.139{col 69}{space 4}-1.502068{col 82}{space 3} 10.76533
{txt}{space 22}1800  {c |}{col 29}{res}{space 2} 6.874435{col 41}{space 2} 3.126794{col 52}{space 1}    2.20{col 61}{space 3}0.028{col 69}{space 4} .7405528{col 82}{space 3} 13.00832
{txt}{space 22}1850  {c |}{col 29}{res}{space 2} 18.93083{col 41}{space 2} 3.126969{col 52}{space 1}    6.05{col 61}{space 3}0.000{col 69}{space 4}  12.7966{col 82}{space 3} 25.06505
{txt}{space 22}1900  {c |}{col 29}{res}{space 2} 16.72089{col 41}{space 2} 3.139442{col 52}{space 1}    5.33{col 61}{space 3}0.000{col 69}{space 4} 10.56219{col 82}{space 3} 22.87959
{txt}{space 27} {c |}
{space 20}country {c |}
{space 19}Albania  {c |}{col 29}{res}{space 2}-.8110785{col 41}{space 2} 1.272518{col 52}{space 1}   -0.64{col 61}{space 3}0.524{col 69}{space 4}-3.307398{col 82}{space 3} 1.685241
{txt}{space 19}Algeria  {c |}{col 29}{res}{space 2}-1.312151{col 41}{space 2} 1.290285{col 52}{space 1}   -1.02{col 61}{space 3}0.309{col 69}{space 4}-3.843324{col 82}{space 3} 1.219022
{txt}{space 20}Angola  {c |}{col 29}{res}{space 2}-.6663432{col 41}{space 2}  1.49813{col 52}{space 1}   -0.44{col 61}{space 3}0.657{col 69}{space 4}-3.605249{col 82}{space 3} 2.272563
{txt}{space 19}Armenia  {c |}{col 29}{res}{space 2} .2486928{col 41}{space 2} 1.251667{col 52}{space 1}    0.20{col 61}{space 3}0.843{col 69}{space 4}-2.206723{col 82}{space 3} 2.704109
{txt}{space 17}Australia  {c |}{col 29}{res}{space 2} 4.857305{col 41}{space 2} 1.731233{col 52}{space 1}    2.81{col 61}{space 3}0.005{col 69}{space 4} 1.461117{col 82}{space 3} 8.253492
{txt}{space 19}Austria  {c |}{col 29}{res}{space 2} 1.202248{col 41}{space 2} 1.282934{col 52}{space 1}    0.94{col 61}{space 3}0.349{col 69}{space 4}-1.314505{col 82}{space 3} 3.719001
{txt}{space 16}Bangladesh  {c |}{col 29}{res}{space 2}  1.04877{col 41}{space 2} 1.681178{col 52}{space 1}    0.62{col 61}{space 3}0.533{col 69}{space 4}-2.249224{col 82}{space 3} 4.346765
{txt}{space 19}Belarus  {c |}{col 29}{res}{space 2}-2.137069{col 41}{space 2} 1.485307{col 52}{space 1}   -1.44{col 61}{space 3}0.150{col 69}{space 4}-5.050819{col 82}{space 3} .7766812
{txt}{space 19}Belgium  {c |}{col 29}{res}{space 2} 2.344758{col 41}{space 2} 1.383586{col 52}{space 1}    1.69{col 61}{space 3}0.090{col 69}{space 4}-.3694445{col 82}{space 3} 5.058961
{txt}{space 21}Benin  {c |}{col 29}{res}{space 2} 1.055797{col 41}{space 2} 1.419304{col 52}{space 1}    0.74{col 61}{space 3}0.457{col 69}{space 4}-1.728474{col 82}{space 3} 3.840068
{txt}{space 20}Bhutan  {c |}{col 29}{res}{space 2}-.4134433{col 41}{space 2} 1.278602{col 52}{space 1}   -0.32{col 61}{space 3}0.746{col 69}{space 4}-2.921698{col 82}{space 3} 2.094812
{txt}{space 4}Bosnia and Herzegovina  {c |}{col 29}{res}{space 2}-.7787094{col 41}{space 2} 1.285353{col 52}{space 1}   -0.61{col 61}{space 3}0.545{col 69}{space 4}-3.300208{col 82}{space 3} 1.742789
{txt}{space 18}Botswana  {c |}{col 29}{res}{space 2} 1.541215{col 41}{space 2} 1.445981{col 52}{space 1}    1.07{col 61}{space 3}0.287{col 69}{space 4} -1.29539{col 82}{space 3}  4.37782
{txt}{space 18}Bulgaria  {c |}{col 29}{res}{space 2}-.8935297{col 41}{space 2}  1.31513{col 52}{space 1}   -0.68{col 61}{space 3}0.497{col 69}{space 4}-3.473441{col 82}{space 3} 1.686382
{txt}{space 14}Burkina Faso  {c |}{col 29}{res}{space 2} .2243079{col 41}{space 2} 1.382763{col 52}{space 1}    0.16{col 61}{space 3}0.871{col 69}{space 4} -2.48828{col 82}{space 3} 2.936896
{txt}{space 19}Burundi  {c |}{col 29}{res}{space 2} .2328564{col 41}{space 2} 1.385443{col 52}{space 1}    0.17{col 61}{space 3}0.867{col 69}{space 4}-2.484989{col 82}{space 3} 2.950702
{txt}{space 18}Cambodia  {c |}{col 29}{res}{space 2}-.8524142{col 41}{space 2} 1.479872{col 52}{space 1}   -0.58{col 61}{space 3}0.565{col 69}{space 4}-3.755503{col 82}{space 3} 2.050675
{txt}{space 18}Cameroon  {c |}{col 29}{res}{space 2} -.388808{col 41}{space 2} 1.368518{col 52}{space 1}   -0.28{col 61}{space 3}0.776{col 69}{space 4}-3.073452{col 82}{space 3} 2.295836
{txt}{space 2}Central African Republic  {c |}{col 29}{res}{space 2} 1.101791{col 41}{space 2} 1.423637{col 52}{space 1}    0.77{col 61}{space 3}0.439{col 69}{space 4}-1.690981{col 82}{space 3} 3.894563
{txt}{space 22}Chad  {c |}{col 29}{res}{space 2} .1982428{col 41}{space 2} 1.342951{col 52}{space 1}    0.15{col 61}{space 3}0.883{col 69}{space 4}-2.436247{col 82}{space 3} 2.832732
{txt}{space 21}China  {c |}{col 29}{res}{space 2}-.7460645{col 41}{space 2} 1.473873{col 52}{space 1}   -0.51{col 61}{space 3}0.613{col 69}{space 4}-3.637384{col 82}{space 3} 2.145255
{txt}{space 21}Congo  {c |}{col 29}{res}{space 2} .0424983{col 41}{space 2} 1.426777{col 52}{space 1}    0.03{col 61}{space 3}0.976{col 69}{space 4}-2.756433{col 82}{space 3} 2.841429
{txt}Congo, Democratic Republic  {c |}{col 29}{res}{space 2}-.2456584{col 41}{space 2}  1.46272{col 52}{space 1}   -0.17{col 61}{space 3}0.867{col 69}{space 4}  -3.1151{col 82}{space 3} 2.623783
{txt}{space 14}Cote dIvoire  {c |}{col 29}{res}{space 2} .5154183{col 41}{space 2} 1.413155{col 52}{space 1}    0.36{col 61}{space 3}0.715{col 69}{space 4}-2.256791{col 82}{space 3} 3.287627
{txt}{space 19}Croatia  {c |}{col 29}{res}{space 2}-.8867734{col 41}{space 2} 1.327585{col 52}{space 1}   -0.67{col 61}{space 3}0.504{col 69}{space 4}-3.491118{col 82}{space 3} 1.717572
{txt}{space 12}Czech Republic  {c |}{col 29}{res}{space 2} .1469471{col 41}{space 2} 1.310538{col 52}{space 1}    0.11{col 61}{space 3}0.911{col 69}{space 4}-2.423956{col 82}{space 3} 2.717851
{txt}{space 19}Denmark  {c |}{col 29}{res}{space 2} 1.391783{col 41}{space 2} 1.623342{col 52}{space 1}    0.86{col 61}{space 3}0.391{col 69}{space 4}-1.792753{col 82}{space 3}  4.57632
{txt}{space 18}Djibouti  {c |}{col 29}{res}{space 2} .4302353{col 41}{space 2} 1.415119{col 52}{space 1}    0.30{col 61}{space 3}0.761{col 69}{space 4}-2.345827{col 82}{space 3} 3.206298
{txt}{space 21}Egypt  {c |}{col 29}{res}{space 2}-.2103785{col 41}{space 2} 1.312193{col 52}{space 1}   -0.16{col 61}{space 3}0.873{col 69}{space 4}-2.784529{col 82}{space 3} 2.363772
{txt}{space 9}Equatorial Guinea  {c |}{col 29}{res}{space 2} .1469072{col 41}{space 2} 1.320643{col 52}{space 1}    0.11{col 61}{space 3}0.911{col 69}{space 4} -2.44382{col 82}{space 3} 2.737634
{txt}{space 19}Eritrea  {c |}{col 29}{res}{space 2}-.5056463{col 41}{space 2} 1.242669{col 52}{space 1}   -0.41{col 61}{space 3}0.684{col 69}{space 4}-2.943411{col 82}{space 3} 1.932118
{txt}{space 19}Estonia  {c |}{col 29}{res}{space 2}-.7473353{col 41}{space 2} 1.540607{col 52}{space 1}   -0.49{col 61}{space 3}0.628{col 69}{space 4}-3.769569{col 82}{space 3} 2.274899
{txt}{space 18}Ethiopia  {c |}{col 29}{res}{space 2} .6233735{col 41}{space 2} 1.493465{col 52}{space 1}    0.42{col 61}{space 3}0.676{col 69}{space 4}-2.306382{col 82}{space 3} 3.553129
{txt}{space 22}Fiji  {c |}{col 29}{res}{space 2} .9556955{col 41}{space 2} 1.710077{col 52}{space 1}    0.56{col 61}{space 3}0.576{col 69}{space 4}-2.398989{col 82}{space 3}  4.31038
{txt}{space 19}Finland  {c |}{col 29}{res}{space 2} 1.425078{col 41}{space 2} 1.523861{col 52}{space 1}    0.94{col 61}{space 3}0.350{col 69}{space 4}-1.564305{col 82}{space 3} 4.414461
{txt}{space 20}France  {c |}{col 29}{res}{space 2} 2.764305{col 41}{space 2} 1.367728{col 52}{space 1}    2.02{col 61}{space 3}0.043{col 69}{space 4}  .081211{col 82}{space 3} 5.447398
{txt}{space 21}Gabon  {c |}{col 29}{res}{space 2} .1937441{col 41}{space 2} 1.391678{col 52}{space 1}    0.14{col 61}{space 3}0.889{col 69}{space 4}-2.536334{col 82}{space 3} 2.923822
{txt}{space 20}Gambia  {c |}{col 29}{res}{space 2}-1.381454{col 41}{space 2} 1.708006{col 52}{space 1}   -0.81{col 61}{space 3}0.419{col 69}{space 4}-4.732077{col 82}{space 3} 1.969169
{txt}{space 19}Germany  {c |}{col 29}{res}{space 2} 1.186685{col 41}{space 2} 1.386073{col 52}{space 1}    0.86{col 61}{space 3}0.392{col 69}{space 4}-1.532397{col 82}{space 3} 3.905767
{txt}{space 21}Ghana  {c |}{col 29}{res}{space 2} .1381938{col 41}{space 2} 1.428073{col 52}{space 1}    0.10{col 61}{space 3}0.923{col 69}{space 4}-2.663279{col 82}{space 3} 2.939667
{txt}{space 20}Greece  {c |}{col 29}{res}{space 2} 1.760892{col 41}{space 2} 1.333875{col 52}{space 1}    1.32{col 61}{space 3}0.187{col 69}{space 4}-.8557932{col 82}{space 3} 4.377576
{txt}{space 20}Guinea  {c |}{col 29}{res}{space 2}-.0636541{col 41}{space 2} 1.353797{col 52}{space 1}   -0.05{col 61}{space 3}0.963{col 69}{space 4} -2.71942{col 82}{space 3} 2.592111
{txt}{space 13}Guinea-Bissau  {c |}{col 29}{res}{space 2}-.5796226{col 41}{space 2} 1.665915{col 52}{space 1}   -0.35{col 61}{space 3}0.728{col 69}{space 4}-3.847676{col 82}{space 3} 2.688431
{txt}{space 19}Hungary  {c |}{col 29}{res}{space 2}-.0701824{col 41}{space 2} 1.409944{col 52}{space 1}   -0.05{col 61}{space 3}0.960{col 69}{space 4}-2.836093{col 82}{space 3} 2.695728
{txt}{space 19}Iceland  {c |}{col 29}{res}{space 2}-.2274385{col 41}{space 2} 1.395067{col 52}{space 1}   -0.16{col 61}{space 3}0.871{col 69}{space 4}-2.964164{col 82}{space 3} 2.509287
{txt}{space 21}India  {c |}{col 29}{res}{space 2} 1.503163{col 41}{space 2} 1.434086{col 52}{space 1}    1.05{col 61}{space 3}0.295{col 69}{space 4}-1.310107{col 82}{space 3} 4.316434
{txt}{space 17}Indonesia  {c |}{col 29}{res}{space 2} 1.077452{col 41}{space 2} 1.434927{col 52}{space 1}    0.75{col 61}{space 3}0.453{col 69}{space 4}-1.737468{col 82}{space 3} 3.892372
{txt}{space 22}Iran  {c |}{col 29}{res}{space 2}-.0454865{col 41}{space 2} 1.218332{col 52}{space 1}   -0.04{col 61}{space 3}0.970{col 69}{space 4}-2.435509{col 82}{space 3} 2.344536
{txt}{space 22}Iraq  {c |}{col 29}{res}{space 2}-2.076014{col 41}{space 2} 1.283781{col 52}{space 1}   -1.62{col 61}{space 3}0.106{col 69}{space 4}-4.594429{col 82}{space 3} .4424002
{txt}{space 19}Ireland  {c |}{col 29}{res}{space 2}  3.06455{col 41}{space 2} 1.391458{col 52}{space 1}    2.20{col 61}{space 3}0.028{col 69}{space 4} .3349038{col 82}{space 3} 5.794196
{txt}{space 20}Israel  {c |}{col 29}{res}{space 2} .5790158{col 41}{space 2}  1.33673{col 52}{space 1}    0.43{col 61}{space 3}0.665{col 69}{space 4}-2.043269{col 82}{space 3} 3.201301
{txt}{space 21}Italy  {c |}{col 29}{res}{space 2} .5992461{col 41}{space 2} 1.332171{col 52}{space 1}    0.45{col 61}{space 3}0.653{col 69}{space 4}-2.014096{col 82}{space 3} 3.212588
{txt}{space 21}Japan  {c |}{col 29}{res}{space 2} .8307565{col 41}{space 2} 1.370345{col 52}{space 1}    0.61{col 61}{space 3}0.544{col 69}{space 4}-1.857471{col 82}{space 3} 3.518984
{txt}{space 20}Jordan  {c |}{col 29}{res}{space 2} .2036758{col 41}{space 2} 1.247636{col 52}{space 1}    0.16{col 61}{space 3}0.870{col 69}{space 4}-2.243833{col 82}{space 3} 2.651184
{txt}{space 16}Kazakhstan  {c |}{col 29}{res}{space 2}-.4715274{col 41}{space 2} 1.338507{col 52}{space 1}   -0.35{col 61}{space 3}0.725{col 69}{space 4}-3.097298{col 82}{space 3} 2.154243
{txt}{space 21}Kenya  {c |}{col 29}{res}{space 2} -.367904{col 41}{space 2} 1.518785{col 52}{space 1}   -0.24{col 61}{space 3}0.809{col 69}{space 4}-3.347329{col 82}{space 3} 2.611521
{txt}{space 16}Korea, DPR  {c |}{col 29}{res}{space 2} .2392704{col 41}{space 2} 1.304154{col 52}{space 1}    0.18{col 61}{space 3}0.854{col 69}{space 4} -2.31911{col 82}{space 3} 2.797651
{txt}{space 11}Korea, Republic  {c |}{col 29}{res}{space 2}  1.72594{col 41}{space 2} 1.381627{col 52}{space 1}    1.25{col 61}{space 3}0.212{col 69}{space 4}-.9844187{col 82}{space 3}   4.4363
{txt}{space 20}Kuwait  {c |}{col 29}{res}{space 2} .0694226{col 41}{space 2} 1.541636{col 52}{space 1}    0.05{col 61}{space 3}0.964{col 69}{space 4}-2.954831{col 82}{space 3} 3.093676
{txt}{space 16}Kyrgyzstan  {c |}{col 29}{res}{space 2} -.327618{col 41}{space 2} 1.223779{col 52}{space 1}   -0.27{col 61}{space 3}0.789{col 69}{space 4}-2.728324{col 82}{space 3} 2.073088
{txt}{space 22}Laos  {c |}{col 29}{res}{space 2}-1.084792{col 41}{space 2} 1.376039{col 52}{space 1}   -0.79{col 61}{space 3}0.431{col 69}{space 4} -3.78419{col 82}{space 3} 1.614606
{txt}{space 20}Latvia  {c |}{col 29}{res}{space 2}-1.109726{col 41}{space 2}  1.50072{col 52}{space 1}   -0.74{col 61}{space 3}0.460{col 69}{space 4}-4.053714{col 82}{space 3} 1.834261
{txt}{space 19}Lebanon  {c |}{col 29}{res}{space 2}-.6054033{col 41}{space 2} 1.256408{col 52}{space 1}   -0.48{col 61}{space 3}0.630{col 69}{space 4}-3.070119{col 82}{space 3} 1.859313
{txt}{space 19}Lesotho  {c |}{col 29}{res}{space 2} -.363775{col 41}{space 2} 1.275212{col 52}{space 1}   -0.29{col 61}{space 3}0.775{col 69}{space 4} -2.86538{col 82}{space 3}  2.13783
{txt}{space 19}Liberia  {c |}{col 29}{res}{space 2} 2.334427{col 41}{space 2} 1.382632{col 52}{space 1}    1.69{col 61}{space 3}0.092{col 69}{space 4}-.3779047{col 82}{space 3} 5.046758
{txt}{space 21}Libya  {c |}{col 29}{res}{space 2}-.7670463{col 41}{space 2} 1.296473{col 52}{space 1}   -0.59{col 61}{space 3}0.554{col 69}{space 4}-3.310358{col 82}{space 3} 1.776266
{txt}{space 17}Lithuania  {c |}{col 29}{res}{space 2}-1.230913{col 41}{space 2} 1.477053{col 52}{space 1}   -0.83{col 61}{space 3}0.405{col 69}{space 4}-4.128472{col 82}{space 3} 1.666646
{txt}{space 17}Macedonia  {c |}{col 29}{res}{space 2}-1.015512{col 41}{space 2} 1.245029{col 52}{space 1}   -0.82{col 61}{space 3}0.415{col 69}{space 4}-3.457904{col 82}{space 3} 1.426881
{txt}{space 16}Madagascar  {c |}{col 29}{res}{space 2}-.1776085{col 41}{space 2} 1.459743{col 52}{space 1}   -0.12{col 61}{space 3}0.903{col 69}{space 4} -3.04121{col 82}{space 3} 2.685993
{txt}{space 20}Malawi  {c |}{col 29}{res}{space 2}  .220113{col 41}{space 2} 1.419587{col 52}{space 1}    0.16{col 61}{space 3}0.877{col 69}{space 4}-2.564714{col 82}{space 3}  3.00494
{txt}{space 18}Malaysia  {c |}{col 29}{res}{space 2} .2379543{col 41}{space 2} 1.429073{col 52}{space 1}    0.17{col 61}{space 3}0.868{col 69}{space 4}-2.565481{col 82}{space 3} 3.041389
{txt}{space 22}Mali  {c |}{col 29}{res}{space 2} 1.087921{col 41}{space 2} 1.416257{col 52}{space 1}    0.77{col 61}{space 3}0.443{col 69}{space 4}-1.690373{col 82}{space 3} 3.866216
{txt}{space 16}Mauritania  {c |}{col 29}{res}{space 2} .6005936{col 41}{space 2} 1.482753{col 52}{space 1}    0.41{col 61}{space 3}0.686{col 69}{space 4}-2.308148{col 82}{space 3} 3.509335
{txt}{space 19}Moldova  {c |}{col 29}{res}{space 2}-1.279276{col 41}{space 2} 1.402501{col 52}{space 1}   -0.91{col 61}{space 3}0.362{col 69}{space 4}-4.030585{col 82}{space 3} 1.472033
{txt}{space 18}Mongolia  {c |}{col 29}{res}{space 2} 1.877139{col 41}{space 2} 1.272002{col 52}{space 1}    1.48{col 61}{space 3}0.140{col 69}{space 4}-.6181671{col 82}{space 3} 4.372446
{txt}{space 19}Morocco  {c |}{col 29}{res}{space 2}-2.019096{col 41}{space 2} 1.264038{col 52}{space 1}   -1.60{col 61}{space 3}0.110{col 69}{space 4}-4.498779{col 82}{space 3} .4605882
{txt}{space 16}Mozambique  {c |}{col 29}{res}{space 2}-.3185241{col 41}{space 2} 1.456212{col 52}{space 1}   -0.22{col 61}{space 3}0.827{col 69}{space 4}-3.175199{col 82}{space 3} 2.538151
{txt}{space 19}Myanmar  {c |}{col 29}{res}{space 2}-.2957884{col 41}{space 2} 1.435862{col 52}{space 1}   -0.21{col 61}{space 3}0.837{col 69}{space 4}-3.112543{col 82}{space 3} 2.520966
{txt}{space 19}Namibia  {c |}{col 29}{res}{space 2} .8032958{col 41}{space 2} 1.238318{col 52}{space 1}    0.65{col 61}{space 3}0.517{col 69}{space 4}-1.625932{col 82}{space 3} 3.232524
{txt}{space 21}Nepal  {c |}{col 29}{res}{space 2} 1.936198{col 41}{space 2} 1.232654{col 52}{space 1}    1.57{col 61}{space 3}0.116{col 69}{space 4}-.4819204{col 82}{space 3} 4.354316
{txt}{space 15}Netherlands  {c |}{col 29}{res}{space 2} 2.198834{col 41}{space 2} 1.777442{col 52}{space 1}    1.24{col 61}{space 3}0.216{col 69}{space 4}-1.288003{col 82}{space 3} 5.685671
{txt}{space 15}New Zealand  {c |}{col 29}{res}{space 2} 3.330133{col 41}{space 2} 1.424177{col 52}{space 1}    2.34{col 61}{space 3}0.020{col 69}{space 4} .5363015{col 82}{space 3} 6.123964
{txt}{space 21}Niger  {c |}{col 29}{res}{space 2} 1.253575{col 41}{space 2} 1.388326{col 52}{space 1}    0.90{col 61}{space 3}0.367{col 69}{space 4}-1.469927{col 82}{space 3} 3.977077
{txt}{space 19}Nigeria  {c |}{col 29}{res}{space 2}-.0960563{col 41}{space 2} 1.425689{col 52}{space 1}   -0.07{col 61}{space 3}0.946{col 69}{space 4}-2.892854{col 82}{space 3} 2.700742
{txt}{space 20}Norway  {c |}{col 29}{res}{space 2} 3.139468{col 41}{space 2} 1.305814{col 52}{space 1}    2.40{col 61}{space 3}0.016{col 69}{space 4} .5778308{col 82}{space 3} 5.701104
{txt}{space 22}Oman  {c |}{col 29}{res}{space 2} .8814167{col 41}{space 2} 1.435574{col 52}{space 1}    0.61{col 61}{space 3}0.539{col 69}{space 4}-1.934773{col 82}{space 3} 3.697606
{txt}{space 18}Pakistan  {c |}{col 29}{res}{space 2}-.3371093{col 41}{space 2} 1.217664{col 52}{space 1}   -0.28{col 61}{space 3}0.782{col 69}{space 4}-2.725821{col 82}{space 3} 2.051603
{txt}{space 10}Papua New Guinea  {c |}{col 29}{res}{space 2} .4733077{col 41}{space 2} 1.372884{col 52}{space 1}    0.34{col 61}{space 3}0.730{col 69}{space 4}  -2.2199{col 82}{space 3} 3.166516
{txt}{space 15}Philippines  {c |}{col 29}{res}{space 2} 1.171269{col 41}{space 2} 1.472066{col 52}{space 1}    0.80{col 61}{space 3}0.426{col 69}{space 4}-1.716506{col 82}{space 3} 4.059044
{txt}{space 20}Poland  {c |}{col 29}{res}{space 2}-1.054034{col 41}{space 2} 1.438819{col 52}{space 1}   -0.73{col 61}{space 3}0.464{col 69}{space 4}-3.876589{col 82}{space 3} 1.768521
{txt}{space 18}Portugal  {c |}{col 29}{res}{space 2}-.3168851{col 41}{space 2} 1.333365{col 52}{space 1}   -0.24{col 61}{space 3}0.812{col 69}{space 4}-2.932568{col 82}{space 3} 2.298798
{txt}{space 21}Qatar  {c |}{col 29}{res}{space 2}-.9737679{col 41}{space 2} 1.715224{col 52}{space 1}   -0.57{col 61}{space 3}0.570{col 69}{space 4}-4.338551{col 82}{space 3} 2.391015
{txt}{space 19}Romania  {c |}{col 29}{res}{space 2} -.907777{col 41}{space 2} 1.337528{col 52}{space 1}   -0.68{col 61}{space 3}0.497{col 69}{space 4}-3.531628{col 82}{space 3} 1.716074
{txt}{space 8}Russian Federation  {c |}{col 29}{res}{space 2}-2.239506{col 41}{space 2}  1.43319{col 52}{space 1}   -1.56{col 61}{space 3}0.118{col 69}{space 4}-5.051018{col 82}{space 3} .5720065
{txt}{space 20}Rwanda  {c |}{col 29}{res}{space 2} .3690353{col 41}{space 2} 1.331357{col 52}{space 1}    0.28{col 61}{space 3}0.782{col 69}{space 4}-2.242709{col 82}{space 3} 2.980779
{txt}{space 14}Saudi Arabia  {c |}{col 29}{res}{space 2}-.0020191{col 41}{space 2} 1.402539{col 52}{space 1}   -0.00{col 61}{space 3}0.999{col 69}{space 4}-2.753402{col 82}{space 3} 2.749364
{txt}{space 19}Senegal  {c |}{col 29}{res}{space 2} .2640201{col 41}{space 2} 1.563489{col 52}{space 1}    0.17{col 61}{space 3}0.866{col 69}{space 4}-2.803102{col 82}{space 3} 3.331142
{txt}{space 5}Serbia and Montenegro  {c |}{col 29}{res}{space 2} .4171446{col 41}{space 2} 1.301781{col 52}{space 1}    0.32{col 61}{space 3}0.749{col 69}{space 4}-2.136581{col 82}{space 3}  2.97087
{txt}{space 14}Sierra Leone  {c |}{col 29}{res}{space 2}-.1767283{col 41}{space 2} 1.391895{col 52}{space 1}   -0.13{col 61}{space 3}0.899{col 69}{space 4} -2.90723{col 82}{space 3} 2.553774
{txt}{space 18}Slovakia  {c |}{col 29}{res}{space 2} .2201393{col 41}{space 2} 1.301032{col 52}{space 1}    0.17{col 61}{space 3}0.866{col 69}{space 4}-2.332117{col 82}{space 3} 2.772395
{txt}{space 18}Slovenia  {c |}{col 29}{res}{space 2}-.3852864{col 41}{space 2} 1.299633{col 52}{space 1}   -0.30{col 61}{space 3}0.767{col 69}{space 4}-2.934798{col 82}{space 3} 2.164225
{txt}{space 11}Solomon Islands  {c |}{col 29}{res}{space 2} .2382989{col 41}{space 2} 1.550801{col 52}{space 1}    0.15{col 61}{space 3}0.878{col 69}{space 4}-2.803933{col 82}{space 3} 3.280531
{txt}{space 19}Somalia  {c |}{col 29}{res}{space 2}-.0439637{col 41}{space 2} 1.264285{col 52}{space 1}   -0.03{col 61}{space 3}0.972{col 69}{space 4}-2.524133{col 82}{space 3} 2.436206
{txt}{space 14}South Africa  {c |}{col 29}{res}{space 2} .7400516{col 41}{space 2} 1.364816{col 52}{space 1}    0.54{col 61}{space 3}0.588{col 69}{space 4} -1.93733{col 82}{space 3} 3.417433
{txt}{space 21}Spain  {c |}{col 29}{res}{space 2} 1.062891{col 41}{space 2} 1.253563{col 52}{space 1}    0.85{col 61}{space 3}0.397{col 69}{space 4}-1.396243{col 82}{space 3} 3.522026
{txt}{space 17}Sri Lanka  {c |}{col 29}{res}{space 2} 1.424945{col 41}{space 2} 1.406387{col 52}{space 1}    1.01{col 61}{space 3}0.311{col 69}{space 4}-1.333988{col 82}{space 3} 4.183878
{txt}{space 21}Sudan  {c |}{col 29}{res}{space 2}-.3536517{col 41}{space 2} 1.370878{col 52}{space 1}   -0.26{col 61}{space 3}0.796{col 69}{space 4}-3.042926{col 82}{space 3} 2.335623
{txt}{space 17}Swaziland  {c |}{col 29}{res}{space 2}-1.468685{col 41}{space 2} 1.353497{col 52}{space 1}   -1.09{col 61}{space 3}0.278{col 69}{space 4}-4.123863{col 82}{space 3} 1.186493
{txt}{space 20}Sweden  {c |}{col 29}{res}{space 2} 1.447905{col 41}{space 2} 1.336307{col 52}{space 1}    1.08{col 61}{space 3}0.279{col 69}{space 4} -1.17355{col 82}{space 3}  4.06936
{txt}{space 15}Switzerland  {c |}{col 29}{res}{space 2} 4.365821{col 41}{space 2}  1.27265{col 52}{space 1}    3.43{col 61}{space 3}0.001{col 69}{space 4} 1.869243{col 82}{space 3}   6.8624
{txt}{space 21}Syria  {c |}{col 29}{res}{space 2}-1.345739{col 41}{space 2} 1.256986{col 52}{space 1}   -1.07{col 61}{space 3}0.285{col 69}{space 4}-3.811589{col 82}{space 3} 1.120112
{txt}{space 16}Tajikistan  {c |}{col 29}{res}{space 2}-.3229483{col 41}{space 2} 1.225276{col 52}{space 1}   -0.26{col 61}{space 3}0.792{col 69}{space 4}-2.726593{col 82}{space 3} 2.080696
{txt}{space 18}Tanzania  {c |}{col 29}{res}{space 2}-.4355287{col 41}{space 2} 1.538942{col 52}{space 1}   -0.28{col 61}{space 3}0.777{col 69}{space 4}-3.454495{col 82}{space 3} 2.583438
{txt}{space 18}Thailand  {c |}{col 29}{res}{space 2} .1080643{col 41}{space 2} 1.452639{col 52}{space 1}    0.07{col 61}{space 3}0.941{col 69}{space 4}-2.741601{col 82}{space 3}  2.95773
{txt}{space 15}Timor-Leste  {c |}{col 29}{res}{space 2} -.952393{col 41}{space 2} 1.330327{col 52}{space 1}   -0.72{col 61}{space 3}0.474{col 69}{space 4}-3.562118{col 82}{space 3} 1.657332
{txt}{space 22}Togo  {c |}{col 29}{res}{space 2} .0757738{col 41}{space 2} 1.367861{col 52}{space 1}    0.06{col 61}{space 3}0.956{col 69}{space 4}-2.607582{col 82}{space 3} 2.759129
{txt}{space 19}Tunisia  {c |}{col 29}{res}{space 2}-2.111227{col 41}{space 2} 1.312777{col 52}{space 1}   -1.61{col 61}{space 3}0.108{col 69}{space 4}-4.686523{col 82}{space 3} .4640683
{txt}{space 20}Turkey  {c |}{col 29}{res}{space 2}-.4023224{col 41}{space 2} 1.265088{col 52}{space 1}   -0.32{col 61}{space 3}0.751{col 69}{space 4}-2.884066{col 82}{space 3} 2.079421
{txt}{space 14}Turkmenistan  {c |}{col 29}{res}{space 2}-.8269678{col 41}{space 2} 1.398212{col 52}{space 1}   -0.59{col 61}{space 3}0.554{col 69}{space 4}-3.569864{col 82}{space 3} 1.915928
{txt}{space 20}Uganda  {c |}{col 29}{res}{space 2}-.1139756{col 41}{space 2} 1.326459{col 52}{space 1}   -0.09{col 61}{space 3}0.932{col 69}{space 4}-2.716112{col 82}{space 3} 2.488161
{txt}{space 19}Ukraine  {c |}{col 29}{res}{space 2}-1.805438{col 41}{space 2} 1.435462{col 52}{space 1}   -1.26{col 61}{space 3}0.209{col 69}{space 4}-4.621407{col 82}{space 3} 1.010532
{txt}{space 6}United Arab Emirates  {c |}{col 29}{res}{space 2}-.5984743{col 41}{space 2}  1.51508{col 52}{space 1}   -0.40{col 61}{space 3}0.693{col 69}{space 4}-3.570631{col 82}{space 3} 2.373682
{txt}{space 12}United Kingdom  {c |}{col 29}{res}{space 2} 2.747265{col 41}{space 2}  1.40602{col 52}{space 1}    1.95{col 61}{space 3}0.051{col 69}{space 4}-.0109469{col 82}{space 3} 5.505477
{txt}{space 16}Uzbekistan  {c |}{col 29}{res}{space 2} -1.86535{col 41}{space 2} 1.332353{col 52}{space 1}   -1.40{col 61}{space 3}0.162{col 69}{space 4}-4.479049{col 82}{space 3} .7483488
{txt}{space 18}Viet Nam  {c |}{col 29}{res}{space 2}-1.325771{col 41}{space 2} 1.433119{col 52}{space 1}   -0.93{col 61}{space 3}0.355{col 69}{space 4}-4.137144{col 82}{space 3} 1.485601
{txt}{space 12}Western Sahara  {c |}{col 29}{res}{space 2} .4349496{col 41}{space 2} 1.538952{col 52}{space 1}    0.28{col 61}{space 3}0.778{col 69}{space 4}-2.584037{col 82}{space 3} 3.453936
{txt}{space 21}Yemen  {c |}{col 29}{res}{space 2} .5472265{col 41}{space 2} 1.369325{col 52}{space 1}    0.40{col 61}{space 3}0.689{col 69}{space 4}-2.139002{col 82}{space 3} 3.233455
{txt}{space 20}Zambia  {c |}{col 29}{res}{space 2}-.0934735{col 41}{space 2} 1.466853{col 52}{space 1}   -0.06{col 61}{space 3}0.949{col 69}{space 4}-2.971022{col 82}{space 3} 2.784075
{txt}{space 18}Zimbabwe  {c |}{col 29}{res}{space 2}-.2146018{col 41}{space 2} 1.399107{col 52}{space 1}   -0.15{col 61}{space 3}0.878{col 69}{space 4}-2.959252{col 82}{space 3} 2.530049
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-10.28398{col 41}{space 2} .9971002{col 52}{space 1}  -10.31{col 61}{space 3}0.000{col 69}{space 4}-12.24001{col 82}{space 3}-8.327954
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. display (_b[ln_wpot_1700] + _b[ln_wpot_1750] + _b[ln_wpot_1800] + _b[ln_wpot_1850] + _b[ln_wpot_1900])/5
{res}.24564309
{txt}
{com}. 
. ****Original IV models with strict exogeneity assumption (Replication of Table 1)****
. **Column 1**
. ivregress 2sls lead_polity (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900) i.year i.country, level(90)
{res}{txt}note: 1950.year identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     1,552
{txt}{col 1}{col 51}Wald chi2({res}141{txt}){col 67}= {res}   1567.89
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.3873
{txt}{col 51}Root MSE{col 67}=    {res}  3.809

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                lead_polity{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [90% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}city_pop_share {c |}{col 29}{res}{space 2} 75.83874{col 41}{space 2} 8.014664{col 52}{space 1}    9.46{col 61}{space 3}0.000{col 69}{space 4} 62.65579{col 82}{space 3} 89.02169
{txt}{space 27} {c |}
{space 23}year {c |}
{space 22}1100  {c |}{col 29}{res}{space 2}-.0556623{col 41}{space 2} .4761616{col 52}{space 1}   -0.12{col 61}{space 3}0.907{col 69}{space 4}-.8388784{col 82}{space 3} .7275538
{txt}{space 22}1200  {c |}{col 29}{res}{space 2}-.0640717{col 41}{space 2} .4761734{col 52}{space 1}   -0.13{col 61}{space 3}0.893{col 69}{space 4}-.8473073{col 82}{space 3} .7191638
{txt}{space 22}1300  {c |}{col 29}{res}{space 2} .4426469{col 41}{space 2} .4784177{col 52}{space 1}    0.93{col 61}{space 3}0.355{col 69}{space 4}-.3442802{col 82}{space 3} 1.229574
{txt}{space 22}1400  {c |}{col 29}{res}{space 2}-.2135176{col 41}{space 2} .4748134{col 52}{space 1}   -0.45{col 61}{space 3}0.653{col 69}{space 4}-.9945162{col 82}{space 3} .5674809
{txt}{space 22}1500  {c |}{col 29}{res}{space 2}-.1369943{col 41}{space 2} .4745981{col 52}{space 1}   -0.29{col 61}{space 3}0.773{col 69}{space 4}-.9176386{col 82}{space 3}   .64365
{txt}{space 22}1600  {c |}{col 29}{res}{space 2} -.239586{col 41}{space 2} .4749182{col 52}{space 1}   -0.50{col 61}{space 3}0.614{col 69}{space 4}-1.020757{col 82}{space 3} .5415848
{txt}{space 22}1700  {c |}{col 29}{res}{space 2} .2652425{col 41}{space 2} .4755397{col 52}{space 1}    0.56{col 61}{space 3}0.577{col 69}{space 4}-.5169507{col 82}{space 3} 1.047436
{txt}{space 22}1750  {c |}{col 29}{res}{space 2} 1.351084{col 41}{space 2} .4752836{col 52}{space 1}    2.84{col 61}{space 3}0.004{col 69}{space 4} .5693124{col 82}{space 3} 2.132856
{txt}{space 22}1800  {c |}{col 29}{res}{space 2} 2.301532{col 41}{space 2} .4752581{col 52}{space 1}    4.84{col 61}{space 3}0.000{col 69}{space 4} 1.519802{col 82}{space 3} 3.083262
{txt}{space 22}1850  {c |}{col 29}{res}{space 2} 4.695735{col 41}{space 2} .4746836{col 52}{space 1}    9.89{col 61}{space 3}0.000{col 69}{space 4}  3.91495{col 82}{space 3}  5.47652
{txt}{space 22}1900  {c |}{col 29}{res}{space 2} 8.358692{col 41}{space 2} .5913729{col 52}{space 1}   14.13{col 61}{space 3}0.000{col 69}{space 4}  7.38597{col 82}{space 3} 9.331414
{txt}{space 22}1950  {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (empty)
{space 27} {c |}
{space 20}country {c |}
{space 19}Albania  {c |}{col 29}{res}{space 2} 1.474036{col 41}{space 2} 1.561948{col 52}{space 1}    0.94{col 61}{space 3}0.345{col 69}{space 4} -1.09514{col 82}{space 3} 4.043213
{txt}{space 19}Algeria  {c |}{col 29}{res}{space 2}-2.052152{col 41}{space 2} 1.561897{col 52}{space 1}   -1.31{col 61}{space 3}0.189{col 69}{space 4}-4.621243{col 82}{space 3} .5169393
{txt}{space 20}Angola  {c |}{col 29}{res}{space 2}  .566039{col 41}{space 2} 1.560466{col 52}{space 1}    0.36{col 61}{space 3}0.717{col 69}{space 4}-2.000699{col 82}{space 3} 3.132777
{txt}{space 19}Armenia  {c |}{col 29}{res}{space 2} 1.474036{col 41}{space 2} 1.561948{col 52}{space 1}    0.94{col 61}{space 3}0.345{col 69}{space 4} -1.09514{col 82}{space 3} 4.043213
{txt}{space 17}Australia  {c |}{col 29}{res}{space 2} 4.389135{col 41}{space 2} 1.557678{col 52}{space 1}    2.82{col 61}{space 3}0.005{col 69}{space 4} 1.826983{col 82}{space 3} 6.951287
{txt}{space 19}Austria  {c |}{col 29}{res}{space 2} .2871503{col 41}{space 2} 1.579653{col 52}{space 1}    0.18{col 61}{space 3}0.856{col 69}{space 4}-2.311148{col 82}{space 3} 2.885449
{txt}{space 16}Bangladesh  {c |}{col 29}{res}{space 2} 2.884087{col 41}{space 2} 1.560332{col 52}{space 1}    1.85{col 61}{space 3}0.065{col 69}{space 4} .3175699{col 82}{space 3} 5.450605
{txt}{space 19}Belarus  {c |}{col 29}{res}{space 2} .0870881{col 41}{space 2} 1.558632{col 52}{space 1}    0.06{col 61}{space 3}0.955{col 69}{space 4}-2.476634{col 82}{space 3}  2.65081
{txt}{space 19}Belgium  {c |}{col 29}{res}{space 2} -.401179{col 41}{space 2} 1.625634{col 52}{space 1}   -0.25{col 61}{space 3}0.805{col 69}{space 4} -3.07511{col 82}{space 3} 2.272752
{txt}{space 21}Benin  {c |}{col 29}{res}{space 2} 1.474036{col 41}{space 2} 1.561948{col 52}{space 1}    0.94{col 61}{space 3}0.345{col 69}{space 4} -1.09514{col 82}{space 3} 4.043213
{txt}{space 20}Bhutan  {c |}{col 29}{res}{space 2} .1407031{col 41}{space 2} 1.561948{col 52}{space 1}    0.09{col 61}{space 3}0.928{col 69}{space 4}-2.428473{col 82}{space 3}  2.70988
{txt}{space 4}Bosnia and Herzegovina  {c |}{col 29}{res}{space 2} 1.627592{col 41}{space 2} 1.560275{col 52}{space 1}    1.04{col 61}{space 3}0.297{col 69}{space 4}-.9388326{col 82}{space 3} 4.194017
{txt}{space 18}Botswana  {c |}{col 29}{res}{space 2} 1.640703{col 41}{space 2} 1.561948{col 52}{space 1}    1.05{col 61}{space 3}0.294{col 69}{space 4}-.9284734{col 82}{space 3}  4.20988
{txt}{space 18}Bulgaria  {c |}{col 29}{res}{space 2} 1.656462{col 41}{space 2} 1.559149{col 52}{space 1}    1.06{col 61}{space 3}0.288{col 69}{space 4}-.9081094{col 82}{space 3} 4.221033
{txt}{space 14}Burkina Faso  {c |}{col 29}{res}{space 2} .7240364{col 41}{space 2} 1.561948{col 52}{space 1}    0.46{col 61}{space 3}0.643{col 69}{space 4} -1.84514{col 82}{space 3} 3.293213
{txt}{space 19}Burundi  {c |}{col 29}{res}{space 2} .8907031{col 41}{space 2} 1.561948{col 52}{space 1}    0.57{col 61}{space 3}0.569{col 69}{space 4}-1.678473{col 82}{space 3}  3.45988
{txt}{space 18}Cambodia  {c |}{col 29}{res}{space 2}-2.013493{col 41}{space 2} 1.566147{col 52}{space 1}   -1.29{col 61}{space 3}0.199{col 69}{space 4}-4.589575{col 82}{space 3}  .562589
{txt}{space 18}Cameroon  {c |}{col 29}{res}{space 2} .6407031{col 41}{space 2} 1.561948{col 52}{space 1}    0.41{col 61}{space 3}0.682{col 69}{space 4}-1.928473{col 82}{space 3}  3.20988
{txt}{space 2}Central African Republic  {c |}{col 29}{res}{space 2} 1.390703{col 41}{space 2} 1.561948{col 52}{space 1}    0.89{col 61}{space 3}0.373{col 69}{space 4}-1.178473{col 82}{space 3}  3.95988
{txt}{space 22}Chad  {c |}{col 29}{res}{space 2} .8073698{col 41}{space 2} 1.561948{col 52}{space 1}    0.52{col 61}{space 3}0.605{col 69}{space 4}-1.761807{col 82}{space 3} 3.376546
{txt}{space 21}China  {c |}{col 29}{res}{space 2} .1896203{col 41}{space 2}  1.55502{col 52}{space 1}    0.12{col 61}{space 3}0.903{col 69}{space 4}-2.368161{col 82}{space 3} 2.747401
{txt}{space 21}Congo  {c |}{col 29}{res}{space 2} .1407031{col 41}{space 2} 1.561948{col 52}{space 1}    0.09{col 61}{space 3}0.928{col 69}{space 4}-2.428473{col 82}{space 3}  2.70988
{txt}Congo, Democratic Republic  {c |}{col 29}{res}{space 2} .9740364{col 41}{space 2} 1.561948{col 52}{space 1}    0.62{col 61}{space 3}0.533{col 69}{space 4} -1.59514{col 82}{space 3} 3.543213
{txt}{space 14}Cote dIvoire  {c |}{col 29}{res}{space 2}  1.30737{col 41}{space 2} 1.561948{col 52}{space 1}    0.84{col 61}{space 3}0.403{col 69}{space 4}-1.261807{col 82}{space 3} 3.876546
{txt}{space 19}Croatia  {c |}{col 29}{res}{space 2} 1.591347{col 41}{space 2}  1.55929{col 52}{space 1}    1.02{col 61}{space 3}0.307{col 69}{space 4}-.9734561{col 82}{space 3} 4.156151
{txt}{space 12}Czech Republic  {c |}{col 29}{res}{space 2} 1.070154{col 41}{space 2} 1.555682{col 52}{space 1}    0.69{col 61}{space 3}0.492{col 69}{space 4}-1.488715{col 82}{space 3} 3.629023
{txt}{space 19}Denmark  {c |}{col 29}{res}{space 2} 1.511752{col 41}{space 2} 1.571606{col 52}{space 1}    0.96{col 61}{space 3}0.336{col 69}{space 4}-1.073309{col 82}{space 3} 4.096814
{txt}{space 18}Djibouti  {c |}{col 29}{res}{space 2} 1.140703{col 41}{space 2} 1.561948{col 52}{space 1}    0.73{col 61}{space 3}0.465{col 69}{space 4}-1.428473{col 82}{space 3}  3.70988
{txt}{space 21}Egypt  {c |}{col 29}{res}{space 2}-4.630748{col 41}{space 2} 1.630207{col 52}{space 1}   -2.84{col 61}{space 3}0.005{col 69}{space 4}  -7.3122{col 82}{space 3}-1.949297
{txt}{space 9}Equatorial Guinea  {c |}{col 29}{res}{space 2} .5573698{col 41}{space 2} 1.561948{col 52}{space 1}    0.36{col 61}{space 3}0.721{col 69}{space 4}-2.011807{col 82}{space 3} 3.126546
{txt}{space 19}Eritrea  {c |}{col 29}{res}{space 2} .5573698{col 41}{space 2} 1.561948{col 52}{space 1}    0.36{col 61}{space 3}0.721{col 69}{space 4}-2.011807{col 82}{space 3} 3.126546
{txt}{space 19}Estonia  {c |}{col 29}{res}{space 2} .9552656{col 41}{space 2}  1.55606{col 52}{space 1}    0.61{col 61}{space 3}0.539{col 69}{space 4}-1.604225{col 82}{space 3} 3.514756
{txt}{space 18}Ethiopia  {c |}{col 29}{res}{space 2} 1.864352{col 41}{space 2}  1.55824{col 52}{space 1}    1.20{col 61}{space 3}0.232{col 69}{space 4}-.6987251{col 82}{space 3}  4.42743
{txt}{space 22}Fiji  {c |}{col 29}{res}{space 2} 1.390703{col 41}{space 2} 1.561948{col 52}{space 1}    0.89{col 61}{space 3}0.373{col 69}{space 4}-1.178473{col 82}{space 3}  3.95988
{txt}{space 19}Finland  {c |}{col 29}{res}{space 2} 4.012753{col 41}{space 2}  1.74409{col 52}{space 1}    2.30{col 61}{space 3}0.021{col 69}{space 4}  1.14398{col 82}{space 3} 6.881525
{txt}{space 20}France  {c |}{col 29}{res}{space 2} 3.479531{col 41}{space 2} 1.563298{col 52}{space 1}    2.23{col 61}{space 3}0.026{col 69}{space 4} .9081343{col 82}{space 3} 6.050928
{txt}{space 21}Gabon  {c |}{col 29}{res}{space 2} .6407031{col 41}{space 2} 1.561948{col 52}{space 1}    0.41{col 61}{space 3}0.682{col 69}{space 4}-1.928473{col 82}{space 3}  3.20988
{txt}{space 20}Gambia  {c |}{col 29}{res}{space 2} .5573698{col 41}{space 2} 1.561948{col 52}{space 1}    0.36{col 61}{space 3}0.721{col 69}{space 4}-2.011807{col 82}{space 3} 3.126546
{txt}{space 19}Germany  {c |}{col 29}{res}{space 2} 1.944652{col 41}{space 2} 1.560372{col 52}{space 1}    1.25{col 61}{space 3}0.213{col 69}{space 4}-.6219318{col 82}{space 3} 4.511235
{txt}{space 21}Ghana  {c |}{col 29}{res}{space 2} 1.001472{col 41}{space 2} 1.560633{col 52}{space 1}    0.64{col 61}{space 3}0.521{col 69}{space 4} -1.56554{col 82}{space 3} 3.568484
{txt}{space 20}Greece  {c |}{col 29}{res}{space 2} 2.149148{col 41}{space 2} 1.564194{col 52}{space 1}    1.37{col 61}{space 3}0.169{col 69}{space 4}-.4237232{col 82}{space 3} 4.722018
{txt}{space 20}Guinea  {c |}{col 29}{res}{space 2} .8907031{col 41}{space 2} 1.561948{col 52}{space 1}    0.57{col 61}{space 3}0.569{col 69}{space 4}-1.678473{col 82}{space 3}  3.45988
{txt}{space 13}Guinea-Bissau  {c |}{col 29}{res}{space 2} 1.390703{col 41}{space 2} 1.561948{col 52}{space 1}    0.89{col 61}{space 3}0.373{col 69}{space 4}-1.178473{col 82}{space 3}  3.95988
{txt}{space 19}Hungary  {c |}{col 29}{res}{space 2} 1.168121{col 41}{space 2} 1.555414{col 52}{space 1}    0.75{col 61}{space 3}0.453{col 69}{space 4}-1.390307{col 82}{space 3} 3.726549
{txt}{space 19}Iceland  {c |}{col 29}{res}{space 2} .1407031{col 41}{space 2} 1.561948{col 52}{space 1}    0.09{col 61}{space 3}0.928{col 69}{space 4}-2.428473{col 82}{space 3}  2.70988
{txt}{space 21}India  {c |}{col 29}{res}{space 2} 2.050671{col 41}{space 2} 1.555083{col 52}{space 1}    1.32{col 61}{space 3}0.187{col 69}{space 4}-.5072133{col 82}{space 3} 4.608555
{txt}{space 17}Indonesia  {c |}{col 29}{res}{space 2} 1.793288{col 41}{space 2} 1.557776{col 52}{space 1}    1.15{col 61}{space 3}0.250{col 69}{space 4}-.7690254{col 82}{space 3} 4.355601
{txt}{space 22}Iran  {c |}{col 29}{res}{space 2}-3.041344{col 41}{space 2} 1.601504{col 52}{space 1}   -1.90{col 61}{space 3}0.058{col 69}{space 4}-5.675584{col 82}{space 3}-.4071046
{txt}{space 22}Iraq  {c |}{col 29}{res}{space 2}-5.277878{col 41}{space 2} 1.629588{col 52}{space 1}   -3.24{col 61}{space 3}0.001{col 69}{space 4}-7.958312{col 82}{space 3}-2.597444
{txt}{space 19}Ireland  {c |}{col 29}{res}{space 2}-.5728462{col 41}{space 2} 1.665948{col 52}{space 1}   -0.34{col 61}{space 3}0.731{col 69}{space 4}-3.313087{col 82}{space 3} 2.167395
{txt}{space 20}Israel  {c |}{col 29}{res}{space 2}-.2362007{col 41}{space 2} 1.574221{col 52}{space 1}   -0.15{col 61}{space 3}0.881{col 69}{space 4}-2.825563{col 82}{space 3} 2.353162
{txt}{space 21}Italy  {c |}{col 29}{res}{space 2}-.2803027{col 41}{space 2} 1.591298{col 52}{space 1}   -0.18{col 61}{space 3}0.860{col 69}{space 4}-2.897755{col 82}{space 3}  2.33715
{txt}{space 21}Japan  {c |}{col 29}{res}{space 2} .9001799{col 41}{space 2} 1.570773{col 52}{space 1}    0.57{col 61}{space 3}0.567{col 69}{space 4}-1.683511{col 82}{space 3} 3.483871
{txt}{space 20}Jordan  {c |}{col 29}{res}{space 2} .8073698{col 41}{space 2} 1.561948{col 52}{space 1}    0.52{col 61}{space 3}0.605{col 69}{space 4}-1.761807{col 82}{space 3} 3.376546
{txt}{space 16}Kazakhstan  {c |}{col 29}{res}{space 2} .7240364{col 41}{space 2} 1.561948{col 52}{space 1}    0.46{col 61}{space 3}0.643{col 69}{space 4} -1.84514{col 82}{space 3} 3.293213
{txt}{space 21}Kenya  {c |}{col 29}{res}{space 2} .8073698{col 41}{space 2} 1.561948{col 52}{space 1}    0.52{col 61}{space 3}0.605{col 69}{space 4}-1.761807{col 82}{space 3} 3.376546
{txt}{space 16}Korea, DPR  {c |}{col 29}{res}{space 2} .7588456{col 41}{space 2} 1.559159{col 52}{space 1}    0.49{col 61}{space 3}0.626{col 69}{space 4}-1.805743{col 82}{space 3} 3.323434
{txt}{space 11}Korea, Republic  {c |}{col 29}{res}{space 2} 3.245772{col 41}{space 2} 1.555428{col 52}{space 1}    2.09{col 61}{space 3}0.037{col 69}{space 4} .6873209{col 82}{space 3} 5.804223
{txt}{space 20}Kuwait  {c |}{col 29}{res}{space 2} .3907031{col 41}{space 2} 1.561948{col 52}{space 1}    0.25{col 61}{space 3}0.802{col 69}{space 4}-2.178473{col 82}{space 3}  2.95988
{txt}{space 16}Kyrgyzstan  {c |}{col 29}{res}{space 2}-1.306722{col 41}{space 2} 1.556897{col 52}{space 1}   -0.84{col 61}{space 3}0.401{col 69}{space 4}-3.867589{col 82}{space 3} 1.254145
{txt}{space 22}Laos  {c |}{col 29}{res}{space 2}-1.148743{col 41}{space 2} 1.555098{col 52}{space 1}   -0.74{col 61}{space 3}0.460{col 69}{space 4}-3.706652{col 82}{space 3} 1.409166
{txt}{space 20}Latvia  {c |}{col 29}{res}{space 2}-.2103061{col 41}{space 2} 1.556079{col 52}{space 1}   -0.14{col 61}{space 3}0.892{col 69}{space 4}-2.769829{col 82}{space 3} 2.349217
{txt}{space 19}Lebanon  {c |}{col 29}{res}{space 2}-.3507922{col 41}{space 2} 1.555055{col 52}{space 1}   -0.23{col 61}{space 3}0.822{col 69}{space 4} -2.90863{col 82}{space 3} 2.207046
{txt}{space 19}Lesotho  {c |}{col 29}{res}{space 2}  1.30737{col 41}{space 2} 1.561948{col 52}{space 1}    0.84{col 61}{space 3}0.403{col 69}{space 4}-1.261807{col 82}{space 3} 3.876546
{txt}{space 19}Liberia  {c |}{col 29}{res}{space 2} 2.974036{col 41}{space 2} 1.561948{col 52}{space 1}    1.90{col 61}{space 3}0.057{col 69}{space 4} .4048599{col 82}{space 3} 5.543213
{txt}{space 21}Libya  {c |}{col 29}{res}{space 2} .6407031{col 41}{space 2} 1.561948{col 52}{space 1}    0.41{col 61}{space 3}0.682{col 69}{space 4}-1.928473{col 82}{space 3}  3.20988
{txt}{space 17}Lithuania  {c |}{col 29}{res}{space 2} -2.67063{col 41}{space 2} 1.590709{col 52}{space 1}   -1.68{col 61}{space 3}0.093{col 69}{space 4}-5.287114{col 82}{space 3}-.0541453
{txt}{space 17}Macedonia  {c |}{col 29}{res}{space 2}-3.801404{col 41}{space 2} 1.615245{col 52}{space 1}   -2.35{col 61}{space 3}0.019{col 69}{space 4}-6.458246{col 82}{space 3}-1.144562
{txt}{space 16}Madagascar  {c |}{col 29}{res}{space 2}  1.43327{col 41}{space 2} 1.560769{col 52}{space 1}    0.92{col 61}{space 3}0.358{col 69}{space 4}-1.133967{col 82}{space 3} 4.000507
{txt}{space 20}Malawi  {c |}{col 29}{res}{space 2} 1.474036{col 41}{space 2} 1.561948{col 52}{space 1}    0.94{col 61}{space 3}0.345{col 69}{space 4} -1.09514{col 82}{space 3} 4.043213
{txt}{space 18}Malaysia  {c |}{col 29}{res}{space 2} .8467564{col 41}{space 2} 1.558702{col 52}{space 1}    0.54{col 61}{space 3}0.587{col 69}{space 4}-1.717081{col 82}{space 3} 3.410594
{txt}{space 22}Mali  {c |}{col 29}{res}{space 2} .1335115{col 41}{space 2} 1.555028{col 52}{space 1}    0.09{col 61}{space 3}0.932{col 69}{space 4}-2.424281{col 82}{space 3} 2.691304
{txt}{space 16}Mauritania  {c |}{col 29}{res}{space 2} .4740364{col 41}{space 2} 1.561948{col 52}{space 1}    0.30{col 61}{space 3}0.762{col 69}{space 4} -2.09514{col 82}{space 3} 3.043213
{txt}{space 19}Moldova  {c |}{col 29}{res}{space 2} .8886222{col 41}{space 2} 1.556482{col 52}{space 1}    0.57{col 61}{space 3}0.568{col 69}{space 4}-1.671564{col 82}{space 3} 3.448808
{txt}{space 18}Mongolia  {c |}{col 29}{res}{space 2} 1.890703{col 41}{space 2} 1.561948{col 52}{space 1}    1.21{col 61}{space 3}0.226{col 69}{space 4}-.6784734{col 82}{space 3}  4.45988
{txt}{space 19}Morocco  {c |}{col 29}{res}{space 2}-6.175589{col 41}{space 2}  1.68985{col 52}{space 1}   -3.65{col 61}{space 3}0.000{col 69}{space 4}-8.955144{col 82}{space 3}-3.396033
{txt}{space 16}Mozambique  {c |}{col 29}{res}{space 2} 1.390703{col 41}{space 2} 1.561948{col 52}{space 1}    0.89{col 61}{space 3}0.373{col 69}{space 4}-1.178473{col 82}{space 3}  3.95988
{txt}{space 19}Myanmar  {c |}{col 29}{res}{space 2}-.0486375{col 41}{space 2} 1.556099{col 52}{space 1}   -0.03{col 61}{space 3}0.975{col 69}{space 4}-2.608193{col 82}{space 3} 2.510918
{txt}{space 19}Namibia  {c |}{col 29}{res}{space 2} 1.474036{col 41}{space 2} 1.561948{col 52}{space 1}    0.94{col 61}{space 3}0.345{col 69}{space 4} -1.09514{col 82}{space 3} 4.043213
{txt}{space 21}Nepal  {c |}{col 29}{res}{space 2} 3.343845{col 41}{space 2}  1.56149{col 52}{space 1}    2.14{col 61}{space 3}0.032{col 69}{space 4} .7754219{col 82}{space 3} 5.912268
{txt}{space 15}Netherlands  {c |}{col 29}{res}{space 2} -.012414{col 41}{space 2} 1.616519{col 52}{space 1}   -0.01{col 61}{space 3}0.994{col 69}{space 4}-2.671352{col 82}{space 3} 2.646524
{txt}{space 15}New Zealand  {c |}{col 29}{res}{space 2} 4.216907{col 41}{space 2} 1.744201{col 52}{space 1}    2.42{col 61}{space 3}0.016{col 69}{space 4} 1.347952{col 82}{space 3} 7.085863
{txt}{space 21}Niger  {c |}{col 29}{res}{space 2}-.7259232{col 41}{space 2}  1.55691{col 52}{space 1}   -0.47{col 61}{space 3}0.641{col 69}{space 4}-3.286812{col 82}{space 3} 1.834965
{txt}{space 19}Nigeria  {c |}{col 29}{res}{space 2}-.1169144{col 41}{space 2} 1.555023{col 52}{space 1}   -0.08{col 61}{space 3}0.940{col 69}{space 4}-2.674699{col 82}{space 3}  2.44087
{txt}{space 20}Norway  {c |}{col 29}{res}{space 2} 4.550859{col 41}{space 2} 1.556108{col 52}{space 1}    2.92{col 61}{space 3}0.003{col 69}{space 4}  1.99129{col 82}{space 3} 7.110429
{txt}{space 22}Oman  {c |}{col 29}{res}{space 2} .9253802{col 41}{space 2} 1.557084{col 52}{space 1}    0.59{col 61}{space 3}0.552{col 69}{space 4}-1.635796{col 82}{space 3} 3.486556
{txt}{space 18}Pakistan  {c |}{col 29}{res}{space 2} 1.383567{col 41}{space 2} 1.559626{col 52}{space 1}    0.89{col 61}{space 3}0.375{col 69}{space 4} -1.18179{col 82}{space 3} 3.948924
{txt}{space 10}Papua New Guinea  {c |}{col 29}{res}{space 2}  1.30737{col 41}{space 2} 1.561948{col 52}{space 1}    0.84{col 61}{space 3}0.403{col 69}{space 4}-1.261807{col 82}{space 3} 3.876546
{txt}{space 15}Philippines  {c |}{col 29}{res}{space 2} 2.187082{col 41}{space 2} 1.556713{col 52}{space 1}    1.40{col 61}{space 3}0.160{col 69}{space 4}-.3734827{col 82}{space 3} 4.747647
{txt}{space 20}Poland  {c |}{col 29}{res}{space 2} .6538346{col 41}{space 2} 1.555036{col 52}{space 1}    0.42{col 61}{space 3}0.674{col 69}{space 4}-1.903973{col 82}{space 3} 3.211642
{txt}{space 18}Portugal  {c |}{col 29}{res}{space 2}-1.050349{col 41}{space 2} 1.579731{col 52}{space 1}   -0.66{col 61}{space 3}0.506{col 69}{space 4}-3.648775{col 82}{space 3} 1.548077
{txt}{space 21}Qatar  {c |}{col 29}{res}{space 2} .1407031{col 41}{space 2} 1.561948{col 52}{space 1}    0.09{col 61}{space 3}0.928{col 69}{space 4}-2.428473{col 82}{space 3}  2.70988
{txt}{space 19}Romania  {c |}{col 29}{res}{space 2} 1.294509{col 41}{space 2} 1.555782{col 52}{space 1}    0.83{col 61}{space 3}0.405{col 69}{space 4}-1.264525{col 82}{space 3} 3.853543
{txt}{space 8}Russian Federation  {c |}{col 29}{res}{space 2} .4456364{col 41}{space 2} 1.555298{col 52}{space 1}    0.29{col 61}{space 3}0.774{col 69}{space 4}-2.112601{col 82}{space 3} 3.003874
{txt}{space 20}Rwanda  {c |}{col 29}{res}{space 2} .6407031{col 41}{space 2} 1.561948{col 52}{space 1}    0.41{col 61}{space 3}0.682{col 69}{space 4}-1.928473{col 82}{space 3}  3.20988
{txt}{space 14}Saudi Arabia  {c |}{col 29}{res}{space 2}-1.181643{col 41}{space 2} 1.555035{col 52}{space 1}   -0.76{col 61}{space 3}0.447{col 69}{space 4}-3.739448{col 82}{space 3} 1.376163
{txt}{space 19}Senegal  {c |}{col 29}{res}{space 2} 1.640703{col 41}{space 2} 1.561948{col 52}{space 1}    1.05{col 61}{space 3}0.294{col 69}{space 4}-.9284734{col 82}{space 3}  4.20988
{txt}{space 5}Serbia and Montenegro  {c |}{col 29}{res}{space 2} 2.573879{col 41}{space 2} 1.556987{col 52}{space 1}    1.65{col 61}{space 3}0.098{col 69}{space 4} .0128643{col 82}{space 3} 5.134895
{txt}{space 14}Sierra Leone  {c |}{col 29}{res}{space 2} .9740364{col 41}{space 2} 1.561948{col 52}{space 1}    0.62{col 61}{space 3}0.533{col 69}{space 4} -1.59514{col 82}{space 3} 3.543213
{txt}{space 18}Slovakia  {c |}{col 29}{res}{space 2} 2.580042{col 41}{space 2} 1.559871{col 52}{space 1}    1.65{col 61}{space 3}0.098{col 69}{space 4} .0142819{col 82}{space 3} 5.145802
{txt}{space 18}Slovenia  {c |}{col 29}{res}{space 2}  2.05737{col 41}{space 2} 1.561948{col 52}{space 1}    1.32{col 61}{space 3}0.188{col 69}{space 4}-.5118067{col 82}{space 3} 4.626546
{txt}{space 11}Solomon Islands  {c |}{col 29}{res}{space 2} .9740364{col 41}{space 2} 1.561948{col 52}{space 1}    0.62{col 61}{space 3}0.533{col 69}{space 4} -1.59514{col 82}{space 3} 3.543213
{txt}{space 19}Somalia  {c |}{col 29}{res}{space 2} .9740364{col 41}{space 2} 1.561948{col 52}{space 1}    0.62{col 61}{space 3}0.533{col 69}{space 4} -1.59514{col 82}{space 3} 3.543213
{txt}{space 14}South Africa  {c |}{col 29}{res}{space 2} 2.425624{col 41}{space 2} 1.558092{col 52}{space 1}    1.56{col 61}{space 3}0.120{col 69}{space 4}-.1372098{col 82}{space 3} 4.988458
{txt}{space 21}Spain  {c |}{col 29}{res}{space 2}-.4616923{col 41}{space 2} 1.589775{col 52}{space 1}   -0.29{col 61}{space 3}0.771{col 69}{space 4}-3.076639{col 82}{space 3} 2.153254
{txt}{space 17}Sri Lanka  {c |}{col 29}{res}{space 2} 1.812167{col 41}{space 2}  1.55558{col 52}{space 1}    1.16{col 61}{space 3}0.244{col 69}{space 4}-.7465344{col 82}{space 3} 4.370869
{txt}{space 21}Sudan  {c |}{col 29}{res}{space 2}  .274102{col 41}{space 2} 1.560837{col 52}{space 1}    0.18{col 61}{space 3}0.861{col 69}{space 4}-2.293247{col 82}{space 3} 2.841451
{txt}{space 17}Swaziland  {c |}{col 29}{res}{space 2} .2240364{col 41}{space 2} 1.561948{col 52}{space 1}    0.14{col 61}{space 3}0.886{col 69}{space 4} -2.34514{col 82}{space 3} 2.793213
{txt}{space 20}Sweden  {c |}{col 29}{res}{space 2} 2.965215{col 41}{space 2} 1.555081{col 52}{space 1}    1.91{col 61}{space 3}0.057{col 69}{space 4} .4073346{col 82}{space 3} 5.523096
{txt}{space 15}Switzerland  {c |}{col 29}{res}{space 2} 5.765851{col 41}{space 2} 1.555456{col 52}{space 1}    3.71{col 61}{space 3}0.000{col 69}{space 4} 3.207353{col 82}{space 3} 8.324349
{txt}{space 21}Syria  {c |}{col 29}{res}{space 2}-5.694207{col 41}{space 2} 1.667395{col 52}{space 1}   -3.42{col 61}{space 3}0.001{col 69}{space 4}-8.436827{col 82}{space 3}-2.951587
{txt}{space 16}Tajikistan  {c |}{col 29}{res}{space 2} .9740364{col 41}{space 2} 1.561948{col 52}{space 1}    0.62{col 61}{space 3}0.533{col 69}{space 4} -1.59514{col 82}{space 3} 3.543213
{txt}{space 18}Tanzania  {c |}{col 29}{res}{space 2} .7180403{col 41}{space 2} 1.560337{col 52}{space 1}    0.46{col 61}{space 3}0.645{col 69}{space 4}-1.848486{col 82}{space 3} 3.284567
{txt}{space 18}Thailand  {c |}{col 29}{res}{space 2}-3.011833{col 41}{space 2} 1.609486{col 52}{space 1}   -1.87{col 61}{space 3}0.061{col 69}{space 4}-5.659202{col 82}{space 3}-.3644644
{txt}{space 15}Timor-Leste  {c |}{col 29}{res}{space 2} .1407031{col 41}{space 2} 1.561948{col 52}{space 1}    0.09{col 61}{space 3}0.928{col 69}{space 4}-2.428473{col 82}{space 3}  2.70988
{txt}{space 22}Togo  {c |}{col 29}{res}{space 2} .8073698{col 41}{space 2} 1.561948{col 52}{space 1}    0.52{col 61}{space 3}0.605{col 69}{space 4}-1.761807{col 82}{space 3} 3.376546
{txt}{space 19}Tunisia  {c |}{col 29}{res}{space 2}-3.812185{col 41}{space 2} 1.590153{col 52}{space 1}   -2.40{col 61}{space 3}0.017{col 69}{space 4}-6.427754{col 82}{space 3}-1.196617
{txt}{space 20}Turkey  {c |}{col 29}{res}{space 2}-2.868385{col 41}{space 2} 1.624627{col 52}{space 1}   -1.77{col 61}{space 3}0.077{col 69}{space 4} -5.54066{col 82}{space 3}-.1961107
{txt}{space 14}Turkmenistan  {c |}{col 29}{res}{space 2}-4.468435{col 41}{space 2} 1.593686{col 52}{space 1}   -2.80{col 61}{space 3}0.005{col 69}{space 4}-7.089815{col 82}{space 3}-1.847054
{txt}{space 20}Uganda  {c |}{col 29}{res}{space 2} .6407031{col 41}{space 2} 1.561948{col 52}{space 1}    0.41{col 61}{space 3}0.682{col 69}{space 4}-1.928473{col 82}{space 3}  3.20988
{txt}{space 19}Ukraine  {c |}{col 29}{res}{space 2} .3424761{col 41}{space 2}  1.55513{col 52}{space 1}    0.22{col 61}{space 3}0.826{col 69}{space 4}-2.215484{col 82}{space 3} 2.900437
{txt}{space 6}United Arab Emirates  {c |}{col 29}{res}{space 2} .3073698{col 41}{space 2} 1.561948{col 52}{space 1}    0.20{col 61}{space 3}0.844{col 69}{space 4}-2.261807{col 82}{space 3} 2.876546
{txt}{space 12}United Kingdom  {c |}{col 29}{res}{space 2} .2049885{col 41}{space 2}  1.64388{col 52}{space 1}    0.12{col 61}{space 3}0.901{col 69}{space 4}-2.498953{col 82}{space 3}  2.90893
{txt}{space 16}Uzbekistan  {c |}{col 29}{res}{space 2}-5.868192{col 41}{space 2}  1.63517{col 52}{space 1}   -3.59{col 61}{space 3}0.000{col 69}{space 4}-8.557807{col 82}{space 3}-3.178577
{txt}{space 18}Viet Nam  {c |}{col 29}{res}{space 2}-1.090845{col 41}{space 2} 1.555048{col 52}{space 1}   -0.70{col 61}{space 3}0.483{col 69}{space 4}-3.648672{col 82}{space 3} 1.466981
{txt}{space 12}Western Sahara  {c |}{col 29}{res}{space 2} .1407031{col 41}{space 2} 1.561948{col 52}{space 1}    0.09{col 61}{space 3}0.928{col 69}{space 4}-2.428473{col 82}{space 3}  2.70988
{txt}{space 21}Yemen  {c |}{col 29}{res}{space 2} .5928771{col 41}{space 2} 1.559979{col 52}{space 1}    0.38{col 61}{space 3}0.704{col 69}{space 4} -1.97306{col 82}{space 3} 3.158814
{txt}{space 20}Zambia  {c |}{col 29}{res}{space 2}  1.05737{col 41}{space 2} 1.561948{col 52}{space 1}    0.68{col 61}{space 3}0.498{col 69}{space 4}-1.511807{col 82}{space 3} 3.626546
{txt}{space 18}Zimbabwe  {c |}{col 29}{res}{space 2} .7240364{col 41}{space 2} 1.561948{col 52}{space 1}    0.46{col 61}{space 3}0.643{col 69}{space 4} -1.84514{col 82}{space 3} 3.293213
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-11.53279{col 41}{space 2} 1.150972{col 52}{space 1}  -10.02{col 61}{space 3}0.000{col 69}{space 4}-13.42598{col 82}{space 3}-9.639614
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 85}Instrumented:{space 2}city_pop_share{p_end}
{p 0 15 85}Instruments:{space 3}1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900{p_end}

{com}. 
. **Column 2**
. ivregress 2sls lead_polity (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900) `ln_oworld_flexible' i.year i.country, level(90)
{res}{txt}note: 1950.year identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     1,552
{txt}{col 1}{col 51}Wald chi2({res}152{txt}){col 67}= {res}   2091.39
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.5326
{txt}{col 51}Root MSE{col 67}=    {res} 3.3269

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                lead_polity{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [90% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}city_pop_share {c |}{col 29}{res}{space 2} 54.91494{col 41}{space 2} 7.699954{col 52}{space 1}    7.13{col 61}{space 3}0.000{col 69}{space 4} 42.24965{col 82}{space 3} 67.58024
{txt}{space 13}ln_oworld_1100 {c |}{col 29}{res}{space 2} .1110653{col 41}{space 2} .1467597{col 52}{space 1}    0.76{col 61}{space 3}0.449{col 69}{space 4}-.1303329{col 82}{space 3} .3524635
{txt}{space 13}ln_oworld_1200 {c |}{col 29}{res}{space 2} .0179468{col 41}{space 2} .1459528{col 52}{space 1}    0.12{col 61}{space 3}0.902{col 69}{space 4}-.2221242{col 82}{space 3} .2580178
{txt}{space 13}ln_oworld_1300 {c |}{col 29}{res}{space 2}-.0244148{col 41}{space 2} .1459713{col 52}{space 1}   -0.17{col 61}{space 3}0.867{col 69}{space 4}-.2645162{col 82}{space 3} .2156865
{txt}{space 13}ln_oworld_1400 {c |}{col 29}{res}{space 2}-.0933815{col 41}{space 2} .1463811{col 52}{space 1}   -0.64{col 61}{space 3}0.524{col 69}{space 4} -.334157{col 82}{space 3}  .147394
{txt}{space 13}ln_oworld_1500 {c |}{col 29}{res}{space 2}-.0667252{col 41}{space 2} .1461172{col 52}{space 1}   -0.46{col 61}{space 3}0.648{col 69}{space 4}-.3070666{col 82}{space 3} .1736162
{txt}{space 13}ln_oworld_1600 {c |}{col 29}{res}{space 2}-.1380468{col 41}{space 2} .1470353{col 52}{space 1}   -0.94{col 61}{space 3}0.348{col 69}{space 4}-.3798985{col 82}{space 3} .1038048
{txt}{space 13}ln_oworld_1700 {c |}{col 29}{res}{space 2}-.0533899{col 41}{space 2} .1465174{col 52}{space 1}   -0.36{col 61}{space 3}0.716{col 69}{space 4}-.2943896{col 82}{space 3} .1876098
{txt}{space 13}ln_oworld_1750 {c |}{col 29}{res}{space 2} .0992486{col 41}{space 2} .1464634{col 52}{space 1}    0.68{col 61}{space 3}0.498{col 69}{space 4}-.1416622{col 82}{space 3} .3401593
{txt}{space 13}ln_oworld_1800 {c |}{col 29}{res}{space 2} .2385082{col 41}{space 2} .1466704{col 52}{space 1}    1.63{col 61}{space 3}0.104{col 69}{space 4}-.0027432{col 82}{space 3} .4797596
{txt}{space 13}ln_oworld_1850 {c |}{col 29}{res}{space 2} .4789524{col 41}{space 2} .1465911{col 52}{space 1}    3.27{col 61}{space 3}0.001{col 69}{space 4} .2378315{col 82}{space 3} .7200733
{txt}{space 13}ln_oworld_1900 {c |}{col 29}{res}{space 2} .6136513{col 41}{space 2} .1549302{col 52}{space 1}    3.96{col 61}{space 3}0.000{col 69}{space 4} .3588137{col 82}{space 3} .8684888
{txt}{space 27} {c |}
{space 23}year {c |}
{space 22}1100  {c |}{col 29}{res}{space 2}-.8259507{col 41}{space 2} 1.118906{col 52}{space 1}   -0.74{col 61}{space 3}0.460{col 69}{space 4}-2.666388{col 82}{space 3} 1.014486
{txt}{space 22}1200  {c |}{col 29}{res}{space 2}-.1733452{col 41}{space 2} 1.113162{col 52}{space 1}   -0.16{col 61}{space 3}0.876{col 69}{space 4}-2.004334{col 82}{space 3} 1.657643
{txt}{space 22}1300  {c |}{col 29}{res}{space 2} .4932252{col 41}{space 2} 1.115043{col 52}{space 1}    0.44{col 61}{space 3}0.658{col 69}{space 4}-1.340858{col 82}{space 3} 2.327308
{txt}{space 22}1400  {c |}{col 29}{res}{space 2} .4940516{col 41}{space 2} 1.115092{col 52}{space 1}    0.44{col 61}{space 3}0.658{col 69}{space 4}-1.340112{col 82}{space 3} 2.328215
{txt}{space 22}1500  {c |}{col 29}{res}{space 2} .3604986{col 41}{space 2} 1.114071{col 52}{space 1}    0.32{col 61}{space 3}0.746{col 69}{space 4}-1.471985{col 82}{space 3} 2.192982
{txt}{space 22}1600  {c |}{col 29}{res}{space 2} .7918025{col 41}{space 2} 1.118494{col 52}{space 1}    0.71{col 61}{space 3}0.479{col 69}{space 4}-1.047957{col 82}{space 3} 2.631562
{txt}{space 22}1700  {c |}{col 29}{res}{space 2} .7270105{col 41}{space 2}  1.11491{col 52}{space 1}    0.65{col 61}{space 3}0.514{col 69}{space 4}-1.106854{col 82}{space 3} 2.560875
{txt}{space 22}1750  {c |}{col 29}{res}{space 2} .7198671{col 41}{space 2} 1.114901{col 52}{space 1}    0.65{col 61}{space 3}0.518{col 69}{space 4}-1.113982{col 82}{space 3} 2.553716
{txt}{space 22}1800  {c |}{col 29}{res}{space 2} .6819349{col 41}{space 2} 1.115946{col 52}{space 1}    0.61{col 61}{space 3}0.541{col 69}{space 4}-1.153633{col 82}{space 3} 2.517503
{txt}{space 22}1850  {c |}{col 29}{res}{space 2} 1.335057{col 41}{space 2} 1.116561{col 52}{space 1}    1.20{col 61}{space 3}0.232{col 69}{space 4}-.5015229{col 82}{space 3} 3.171636
{txt}{space 22}1900  {c |}{col 29}{res}{space 2} 4.932001{col 41}{space 2} 1.113307{col 52}{space 1}    4.43{col 61}{space 3}0.000{col 69}{space 4} 3.100773{col 82}{space 3} 6.763228
{txt}{space 22}1950  {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (empty)
{space 27} {c |}
{space 20}country {c |}
{space 19}Albania  {c |}{col 29}{res}{space 2}   1.0482{col 41}{space 2}  1.36668{col 52}{space 1}    0.77{col 61}{space 3}0.443{col 69}{space 4}-1.199789{col 82}{space 3} 3.296188
{txt}{space 19}Algeria  {c |}{col 29}{res}{space 2}-1.813423{col 41}{space 2} 1.371461{col 52}{space 1}   -1.32{col 61}{space 3}0.186{col 69}{space 4}-4.069277{col 82}{space 3} .4424296
{txt}{space 20}Angola  {c |}{col 29}{res}{space 2}-.1346002{col 41}{space 2} 1.415156{col 52}{space 1}   -0.10{col 61}{space 3}0.924{col 69}{space 4}-2.462325{col 82}{space 3} 2.193125
{txt}{space 19}Armenia  {c |}{col 29}{res}{space 2} 1.218627{col 41}{space 2} 1.370151{col 52}{space 1}    0.89{col 61}{space 3}0.374{col 69}{space 4}-1.035071{col 82}{space 3} 3.472324
{txt}{space 17}Australia  {c |}{col 29}{res}{space 2} 4.200937{col 41}{space 2} 1.424139{col 52}{space 1}    2.95{col 61}{space 3}0.003{col 69}{space 4} 1.858438{col 82}{space 3} 6.543437
{txt}{space 19}Austria  {c |}{col 29}{res}{space 2}  .844368{col 41}{space 2} 1.390921{col 52}{space 1}    0.61{col 61}{space 3}0.544{col 69}{space 4}-1.443494{col 82}{space 3}  3.13223
{txt}{space 16}Bangladesh  {c |}{col 29}{res}{space 2} 2.307079{col 41}{space 2} 1.387736{col 52}{space 1}    1.66{col 61}{space 3}0.096{col 69}{space 4} .0244557{col 82}{space 3} 4.589702
{txt}{space 19}Belarus  {c |}{col 29}{res}{space 2}-.5266916{col 41}{space 2} 1.406473{col 52}{space 1}   -0.37{col 61}{space 3}0.708{col 69}{space 4}-2.840133{col 82}{space 3}  1.78675
{txt}{space 19}Belgium  {c |}{col 29}{res}{space 2} .7098438{col 41}{space 2} 1.433629{col 52}{space 1}    0.50{col 61}{space 3}0.621{col 69}{space 4}-1.648266{col 82}{space 3} 3.067954
{txt}{space 21}Benin  {c |}{col 29}{res}{space 2} .8283279{col 41}{space 2} 1.393834{col 52}{space 1}    0.59{col 61}{space 3}0.552{col 69}{space 4}-1.464326{col 82}{space 3} 3.120982
{txt}{space 20}Bhutan  {c |}{col 29}{res}{space 2}   .15153{col 41}{space 2} 1.417851{col 52}{space 1}    0.11{col 61}{space 3}0.915{col 69}{space 4}-2.180628{col 82}{space 3} 2.483688
{txt}{space 4}Bosnia and Herzegovina  {c |}{col 29}{res}{space 2} 1.124503{col 41}{space 2} 1.376064{col 52}{space 1}    0.82{col 61}{space 3}0.414{col 69}{space 4}-1.138922{col 82}{space 3} 3.387927
{txt}{space 18}Botswana  {c |}{col 29}{res}{space 2} 1.133821{col 41}{space 2} 1.372593{col 52}{space 1}    0.83{col 61}{space 3}0.409{col 69}{space 4}-1.123893{col 82}{space 3} 3.391534
{txt}{space 18}Bulgaria  {c |}{col 29}{res}{space 2}  1.09201{col 41}{space 2} 1.391543{col 52}{space 1}    0.78{col 61}{space 3}0.433{col 69}{space 4}-1.196874{col 82}{space 3} 3.380894
{txt}{space 14}Burkina Faso  {c |}{col 29}{res}{space 2} .1427121{col 41}{space 2} 1.382263{col 52}{space 1}    0.10{col 61}{space 3}0.918{col 69}{space 4}-2.130908{col 82}{space 3} 2.416332
{txt}{space 19}Burundi  {c |}{col 29}{res}{space 2} .5457628{col 41}{space 2} 1.365636{col 52}{space 1}    0.40{col 61}{space 3}0.689{col 69}{space 4}-1.700509{col 82}{space 3} 2.792034
{txt}{space 18}Cambodia  {c |}{col 29}{res}{space 2}-1.812278{col 41}{space 2} 1.395715{col 52}{space 1}   -1.30{col 61}{space 3}0.194{col 69}{space 4}-4.108025{col 82}{space 3} .4834693
{txt}{space 18}Cameroon  {c |}{col 29}{res}{space 2}-.1311884{col 41}{space 2} 1.424841{col 52}{space 1}   -0.09{col 61}{space 3}0.927{col 69}{space 4}-2.474843{col 82}{space 3} 2.212466
{txt}{space 2}Central African Republic  {c |}{col 29}{res}{space 2} .5747597{col 41}{space 2}  1.43816{col 52}{space 1}    0.40{col 61}{space 3}0.689{col 69}{space 4}-1.790803{col 82}{space 3} 2.940323
{txt}{space 22}Chad  {c |}{col 29}{res}{space 2} .1338384{col 41}{space 2} 1.399737{col 52}{space 1}    0.10{col 61}{space 3}0.924{col 69}{space 4}-2.168524{col 82}{space 3} 2.436201
{txt}{space 21}China  {c |}{col 29}{res}{space 2}-.2811971{col 41}{space 2} 1.436748{col 52}{space 1}   -0.20{col 61}{space 3}0.845{col 69}{space 4}-2.644436{col 82}{space 3} 2.082042
{txt}{space 21}Congo  {c |}{col 29}{res}{space 2}-.5140326{col 41}{space 2} 1.395691{col 52}{space 1}   -0.37{col 61}{space 3}0.713{col 69}{space 4}-2.809739{col 82}{space 3} 1.781674
{txt}Congo, Democratic Republic  {c |}{col 29}{res}{space 2} .0976161{col 41}{space 2} 1.458451{col 52}{space 1}    0.07{col 61}{space 3}0.947{col 69}{space 4}-2.301323{col 82}{space 3} 2.496555
{txt}{space 14}Cote dIvoire  {c |}{col 29}{res}{space 2} .5436623{col 41}{space 2} 1.422505{col 52}{space 1}    0.38{col 61}{space 3}0.702{col 69}{space 4}-1.796151{col 82}{space 3} 2.883476
{txt}{space 19}Croatia  {c |}{col 29}{res}{space 2} 1.101622{col 41}{space 2} 1.377634{col 52}{space 1}    0.80{col 61}{space 3}0.424{col 69}{space 4}-1.164385{col 82}{space 3} 3.367629
{txt}{space 12}Czech Republic  {c |}{col 29}{res}{space 2} .9483317{col 41}{space 2} 1.379498{col 52}{space 1}    0.69{col 61}{space 3}0.492{col 69}{space 4}-1.320741{col 82}{space 3} 3.217404
{txt}{space 19}Denmark  {c |}{col 29}{res}{space 2} 1.938768{col 41}{space 2} 1.383063{col 52}{space 1}    1.40{col 61}{space 3}0.161{col 69}{space 4}-.3361685{col 82}{space 3} 4.213705
{txt}{space 18}Djibouti  {c |}{col 29}{res}{space 2}   1.3566{col 41}{space 2} 1.486931{col 52}{space 1}    0.91{col 61}{space 3}0.362{col 69}{space 4}-1.089184{col 82}{space 3} 3.802384
{txt}{space 21}Egypt  {c |}{col 29}{res}{space 2}-3.032947{col 41}{space 2}  1.48455{col 52}{space 1}   -2.04{col 61}{space 3}0.041{col 69}{space 4}-5.474814{col 82}{space 3}-.5910802
{txt}{space 9}Equatorial Guinea  {c |}{col 29}{res}{space 2} .1734513{col 41}{space 2} 1.365531{col 52}{space 1}    0.13{col 61}{space 3}0.899{col 69}{space 4}-2.072648{col 82}{space 3} 2.419551
{txt}{space 19}Eritrea  {c |}{col 29}{res}{space 2} .3935735{col 41}{space 2} 1.380875{col 52}{space 1}    0.29{col 61}{space 3}0.776{col 69}{space 4}-1.877764{col 82}{space 3} 2.664911
{txt}{space 19}Estonia  {c |}{col 29}{res}{space 2} .6745735{col 41}{space 2} 1.366412{col 52}{space 1}    0.49{col 61}{space 3}0.622{col 69}{space 4}-1.572975{col 82}{space 3} 2.922122
{txt}{space 18}Ethiopia  {c |}{col 29}{res}{space 2} 1.264826{col 41}{space 2} 1.406224{col 52}{space 1}    0.90{col 61}{space 3}0.368{col 69}{space 4}-1.048206{col 82}{space 3} 3.577859
{txt}{space 22}Fiji  {c |}{col 29}{res}{space 2}   1.6066{col 41}{space 2} 1.486931{col 52}{space 1}    1.08{col 61}{space 3}0.280{col 69}{space 4} -.839184{col 82}{space 3} 4.052384
{txt}{space 19}Finland  {c |}{col 29}{res}{space 2} 3.476668{col 41}{space 2} 1.539233{col 52}{space 1}    2.26{col 61}{space 3}0.024{col 69}{space 4} .9448552{col 82}{space 3}  6.00848
{txt}{space 20}France  {c |}{col 29}{res}{space 2} 3.484423{col 41}{space 2} 1.424374{col 52}{space 1}    2.45{col 61}{space 3}0.014{col 69}{space 4} 1.141535{col 82}{space 3}  5.82731
{txt}{space 21}Gabon  {c |}{col 29}{res}{space 2}-.0395445{col 41}{space 2} 1.401242{col 52}{space 1}   -0.03{col 61}{space 3}0.977{col 69}{space 4}-2.344383{col 82}{space 3} 2.265294
{txt}{space 20}Gambia  {c |}{col 29}{res}{space 2} .2622504{col 41}{space 2} 1.367415{col 52}{space 1}    0.19{col 61}{space 3}0.848{col 69}{space 4}-1.986947{col 82}{space 3} 2.511448
{txt}{space 19}Germany  {c |}{col 29}{res}{space 2} 1.901981{col 41}{space 2} 1.412843{col 52}{space 1}    1.35{col 61}{space 3}0.178{col 69}{space 4}-.4219393{col 82}{space 3} 4.225901
{txt}{space 21}Ghana  {c |}{col 29}{res}{space 2} .3164759{col 41}{space 2} 1.409925{col 52}{space 1}    0.22{col 61}{space 3}0.822{col 69}{space 4}-2.002645{col 82}{space 3} 2.635597
{txt}{space 20}Greece  {c |}{col 29}{res}{space 2} 2.365337{col 41}{space 2} 1.383678{col 52}{space 1}    1.71{col 61}{space 3}0.087{col 69}{space 4} .0893894{col 82}{space 3} 4.641285
{txt}{space 20}Guinea  {c |}{col 29}{res}{space 2} .2262075{col 41}{space 2} 1.397761{col 52}{space 1}    0.16{col 61}{space 3}0.871{col 69}{space 4}-2.072905{col 82}{space 3}  2.52532
{txt}{space 13}Guinea-Bissau  {c |}{col 29}{res}{space 2} .9863218{col 41}{space 2} 1.365929{col 52}{space 1}    0.72{col 61}{space 3}0.470{col 69}{space 4}-1.260431{col 82}{space 3} 3.233075
{txt}{space 19}Hungary  {c |}{col 29}{res}{space 2} .9926992{col 41}{space 2} 1.384299{col 52}{space 1}    0.72{col 61}{space 3}0.473{col 69}{space 4} -1.28427{col 82}{space 3} 3.269669
{txt}{space 19}Iceland  {c |}{col 29}{res}{space 2} .3566001{col 41}{space 2} 1.486931{col 52}{space 1}    0.24{col 61}{space 3}0.810{col 69}{space 4}-2.089184{col 82}{space 3} 2.802384
{txt}{space 21}India  {c |}{col 29}{res}{space 2} 1.592787{col 41}{space 2} 1.423468{col 52}{space 1}    1.12{col 61}{space 3}0.263{col 69}{space 4}-.7486097{col 82}{space 3} 3.934184
{txt}{space 17}Indonesia  {c |}{col 29}{res}{space 2}  1.24053{col 41}{space 2} 1.398971{col 52}{space 1}    0.89{col 61}{space 3}0.375{col 69}{space 4}-1.060573{col 82}{space 3} 3.541633
{txt}{space 22}Iran  {c |}{col 29}{res}{space 2}-2.086916{col 41}{space 2} 1.406592{col 52}{space 1}   -1.48{col 61}{space 3}0.138{col 69}{space 4}-4.400553{col 82}{space 3} .2267216
{txt}{space 22}Iraq  {c |}{col 29}{res}{space 2}-4.159798{col 41}{space 2}  1.43938{col 52}{space 1}   -2.89{col 61}{space 3}0.004{col 69}{space 4}-6.527367{col 82}{space 3} -1.79223
{txt}{space 19}Ireland  {c |}{col 29}{res}{space 2} .8303755{col 41}{space 2} 1.476253{col 52}{space 1}    0.56{col 61}{space 3}0.574{col 69}{space 4}-1.597844{col 82}{space 3} 3.258595
{txt}{space 20}Israel  {c |}{col 29}{res}{space 2} .4083754{col 41}{space 2} 1.378572{col 52}{space 1}    0.30{col 61}{space 3}0.767{col 69}{space 4}-1.859174{col 82}{space 3} 2.675924
{txt}{space 21}Italy  {c |}{col 29}{res}{space 2} .2846688{col 41}{space 2} 1.424456{col 52}{space 1}    0.20{col 61}{space 3}0.842{col 69}{space 4}-2.058353{col 82}{space 3} 2.627691
{txt}{space 21}Japan  {c |}{col 29}{res}{space 2} 1.194287{col 41}{space 2} 1.399702{col 52}{space 1}    0.85{col 61}{space 3}0.394{col 69}{space 4}-1.108019{col 82}{space 3} 3.496593
{txt}{space 20}Jordan  {c |}{col 29}{res}{space 2} .6982384{col 41}{space 2} 1.390161{col 52}{space 1}    0.50{col 61}{space 3}0.615{col 69}{space 4}-1.588373{col 82}{space 3}  2.98485
{txt}{space 16}Kazakhstan  {c |}{col 29}{res}{space 2} .1905956{col 41}{space 2} 1.375581{col 52}{space 1}    0.14{col 61}{space 3}0.890{col 69}{space 4}-2.072033{col 82}{space 3} 2.453224
{txt}{space 21}Kenya  {c |}{col 29}{res}{space 2} .1900741{col 41}{space 2} 1.388366{col 52}{space 1}    0.14{col 61}{space 3}0.891{col 69}{space 4}-2.093584{col 82}{space 3} 2.473732
{txt}{space 16}Korea, DPR  {c |}{col 29}{res}{space 2} .9078985{col 41}{space 2} 1.369339{col 52}{space 1}    0.66{col 61}{space 3}0.507{col 69}{space 4}-1.344464{col 82}{space 3} 3.160261
{txt}{space 11}Korea, Republic  {c |}{col 29}{res}{space 2} 3.185756{col 41}{space 2} 1.366953{col 52}{space 1}    2.33{col 61}{space 3}0.020{col 69}{space 4}  .937318{col 82}{space 3} 5.434193
{txt}{space 20}Kuwait  {c |}{col 29}{res}{space 2} .6066001{col 41}{space 2} 1.486931{col 52}{space 1}    0.41{col 61}{space 3}0.683{col 69}{space 4}-1.839184{col 82}{space 3} 3.052384
{txt}{space 16}Kyrgyzstan  {c |}{col 29}{res}{space 2} -1.04298{col 41}{space 2}  1.36212{col 52}{space 1}   -0.77{col 61}{space 3}0.444{col 69}{space 4}-3.283468{col 82}{space 3} 1.197508
{txt}{space 22}Laos  {c |}{col 29}{res}{space 2}-1.312039{col 41}{space 2} 1.373571{col 52}{space 1}   -0.96{col 61}{space 3}0.339{col 69}{space 4}-3.571362{col 82}{space 3} .9472843
{txt}{space 20}Latvia  {c |}{col 29}{res}{space 2} -.296154{col 41}{space 2} 1.378902{col 52}{space 1}   -0.21{col 61}{space 3}0.830{col 69}{space 4}-2.564246{col 82}{space 3} 1.971938
{txt}{space 19}Lebanon  {c |}{col 29}{res}{space 2}-.1478515{col 41}{space 2} 1.369822{col 52}{space 1}   -0.11{col 61}{space 3}0.914{col 69}{space 4}-2.401008{col 82}{space 3} 2.105305
{txt}{space 19}Lesotho  {c |}{col 29}{res}{space 2} 1.029788{col 41}{space 2}  1.36848{col 52}{space 1}    0.75{col 61}{space 3}0.452{col 69}{space 4} -1.22116{col 82}{space 3} 3.280737
{txt}{space 19}Liberia  {c |}{col 29}{res}{space 2} 2.422863{col 41}{space 2} 1.377862{col 52}{space 1}    1.76{col 61}{space 3}0.079{col 69}{space 4} .1564819{col 82}{space 3} 4.689244
{txt}{space 21}Libya  {c |}{col 29}{res}{space 2} .2189228{col 41}{space 2} 1.366512{col 52}{space 1}    0.16{col 61}{space 3}0.873{col 69}{space 4}-2.028789{col 82}{space 3} 2.466635
{txt}{space 17}Lithuania  {c |}{col 29}{res}{space 2}-2.032025{col 41}{space 2} 1.409935{col 52}{space 1}   -1.44{col 61}{space 3}0.150{col 69}{space 4}-4.351162{col 82}{space 3}  .287113
{txt}{space 17}Macedonia  {c |}{col 29}{res}{space 2}-2.691897{col 41}{space 2} 1.420916{col 52}{space 1}   -1.89{col 61}{space 3}0.058{col 69}{space 4}-5.029096{col 82}{space 3}-.3546984
{txt}{space 16}Madagascar  {c |}{col 29}{res}{space 2} .7714524{col 41}{space 2} 1.403382{col 52}{space 1}    0.55{col 61}{space 3}0.583{col 69}{space 4}-1.536905{col 82}{space 3}  3.07981
{txt}{space 20}Malawi  {c |}{col 29}{res}{space 2} .9084784{col 41}{space 2}  1.37988{col 52}{space 1}    0.66{col 61}{space 3}0.510{col 69}{space 4}-1.361222{col 82}{space 3} 3.178178
{txt}{space 18}Malaysia  {c |}{col 29}{res}{space 2} .5306129{col 41}{space 2}  1.36291{col 52}{space 1}    0.39{col 61}{space 3}0.697{col 69}{space 4}-1.711174{col 82}{space 3}   2.7724
{txt}{space 22}Mali  {c |}{col 29}{res}{space 2}-.0971685{col 41}{space 2} 1.375787{col 52}{space 1}   -0.07{col 61}{space 3}0.944{col 69}{space 4}-2.360137{col 82}{space 3}   2.1658
{txt}{space 16}Mauritania  {c |}{col 29}{res}{space 2} .4369836{col 41}{space 2} 1.405617{col 52}{space 1}    0.31{col 61}{space 3}0.756{col 69}{space 4}-1.875051{col 82}{space 3} 2.749018
{txt}{space 19}Moldova  {c |}{col 29}{res}{space 2} .5858038{col 41}{space 2} 1.366411{col 52}{space 1}    0.43{col 61}{space 3}0.668{col 69}{space 4}-1.661743{col 82}{space 3} 2.833351
{txt}{space 18}Mongolia  {c |}{col 29}{res}{space 2} 1.833173{col 41}{space 2}  1.40086{col 52}{space 1}    1.31{col 61}{space 3}0.191{col 69}{space 4}-.4710371{col 82}{space 3} 4.137384
{txt}{space 19}Morocco  {c |}{col 29}{res}{space 2} -4.69438{col 41}{space 2} 1.508213{col 52}{space 1}   -3.11{col 61}{space 3}0.002{col 69}{space 4}-7.175169{col 82}{space 3}-2.213591
{txt}{space 16}Mozambique  {c |}{col 29}{res}{space 2} .5995397{col 41}{space 2} 1.430513{col 52}{space 1}    0.42{col 61}{space 3}0.675{col 69}{space 4}-1.753445{col 82}{space 3} 2.952525
{txt}{space 19}Myanmar  {c |}{col 29}{res}{space 2}-.2399652{col 41}{space 2} 1.401031{col 52}{space 1}   -0.17{col 61}{space 3}0.864{col 69}{space 4}-2.544457{col 82}{space 3} 2.064526
{txt}{space 19}Namibia  {c |}{col 29}{res}{space 2} 1.112802{col 41}{space 2} 1.365455{col 52}{space 1}    0.81{col 61}{space 3}0.415{col 69}{space 4}-1.133172{col 82}{space 3} 3.358775
{txt}{space 21}Nepal  {c |}{col 29}{res}{space 2} 2.922074{col 41}{space 2} 1.366587{col 52}{space 1}    2.14{col 61}{space 3}0.032{col 69}{space 4} .6742382{col 82}{space 3} 5.169909
{txt}{space 15}Netherlands  {c |}{col 29}{res}{space 2} 1.039259{col 41}{space 2} 1.423206{col 52}{space 1}    0.73{col 61}{space 3}0.465{col 69}{space 4}-1.301706{col 82}{space 3} 3.380225
{txt}{space 15}New Zealand  {c |}{col 29}{res}{space 2} 4.295529{col 41}{space 2} 1.536982{col 52}{space 1}    2.79{col 61}{space 3}0.005{col 69}{space 4} 1.767418{col 82}{space 3} 6.823639
{txt}{space 21}Niger  {c |}{col 29}{res}{space 2}-.3948409{col 41}{space 2} 1.367378{col 52}{space 1}   -0.29{col 61}{space 3}0.773{col 69}{space 4}-2.643978{col 82}{space 3} 1.854296
{txt}{space 19}Nigeria  {c |}{col 29}{res}{space 2}-.5167367{col 41}{space 2} 1.419334{col 52}{space 1}   -0.36{col 61}{space 3}0.716{col 69}{space 4}-2.851334{col 82}{space 3}  1.81786
{txt}{space 20}Norway  {c |}{col 29}{res}{space 2} 4.457161{col 41}{space 2} 1.360359{col 52}{space 1}    3.28{col 61}{space 3}0.001{col 69}{space 4} 2.219569{col 82}{space 3} 6.694753
{txt}{space 22}Oman  {c |}{col 29}{res}{space 2} 1.315642{col 41}{space 2} 1.485136{col 52}{space 1}    0.89{col 61}{space 3}0.376{col 69}{space 4}-1.127189{col 82}{space 3} 3.758473
{txt}{space 18}Pakistan  {c |}{col 29}{res}{space 2}  .929153{col 41}{space 2} 1.371877{col 52}{space 1}    0.68{col 61}{space 3}0.498{col 69}{space 4}-1.327384{col 82}{space 3}  3.18569
{txt}{space 10}Papua New Guinea  {c |}{col 29}{res}{space 2} .7968037{col 41}{space 2} 1.372976{col 52}{space 1}    0.58{col 61}{space 3}0.562{col 69}{space 4}-1.461541{col 82}{space 3} 3.055149
{txt}{space 15}Philippines  {c |}{col 29}{res}{space 2} 1.752217{col 41}{space 2} 1.383693{col 52}{space 1}    1.27{col 61}{space 3}0.205{col 69}{space 4}-.5237555{col 82}{space 3} 4.028189
{txt}{space 20}Poland  {c |}{col 29}{res}{space 2} .2820877{col 41}{space 2} 1.404096{col 52}{space 1}    0.20{col 61}{space 3}0.841{col 69}{space 4}-2.027445{col 82}{space 3}  2.59162
{txt}{space 18}Portugal  {c |}{col 29}{res}{space 2}-.5122101{col 41}{space 2} 1.393193{col 52}{space 1}   -0.37{col 61}{space 3}0.713{col 69}{space 4}-2.803809{col 82}{space 3} 1.779389
{txt}{space 21}Qatar  {c |}{col 29}{res}{space 2} .3566001{col 41}{space 2} 1.486931{col 52}{space 1}    0.24{col 61}{space 3}0.810{col 69}{space 4}-2.089184{col 82}{space 3} 2.802384
{txt}{space 19}Romania  {c |}{col 29}{res}{space 2} .8360557{col 41}{space 2} 1.400682{col 52}{space 1}    0.60{col 61}{space 3}0.551{col 69}{space 4}-1.467861{col 82}{space 3} 3.139972
{txt}{space 8}Russian Federation  {c |}{col 29}{res}{space 2}-.2214255{col 41}{space 2} 1.484314{col 52}{space 1}   -0.15{col 61}{space 3}0.881{col 69}{space 4}-2.662904{col 82}{space 3} 2.220053
{txt}{space 20}Rwanda  {c |}{col 29}{res}{space 2}  .444931{col 41}{space 2} 1.376438{col 52}{space 1}    0.32{col 61}{space 3}0.747{col 69}{space 4}-1.819108{col 82}{space 3}  2.70897
{txt}{space 14}Saudi Arabia  {c |}{col 29}{res}{space 2}-.6009123{col 41}{space 2} 1.486341{col 52}{space 1}   -0.40{col 61}{space 3}0.686{col 69}{space 4}-3.045726{col 82}{space 3} 1.843902
{txt}{space 19}Senegal  {c |}{col 29}{res}{space 2} 1.210265{col 41}{space 2} 1.366886{col 52}{space 1}    0.89{col 61}{space 3}0.376{col 69}{space 4}-1.038062{col 82}{space 3} 3.458592
{txt}{space 5}Serbia and Montenegro  {c |}{col 29}{res}{space 2} 2.131018{col 41}{space 2} 1.382844{col 52}{space 1}    1.54{col 61}{space 3}0.123{col 69}{space 4}-.1435578{col 82}{space 3} 4.405594
{txt}{space 14}Sierra Leone  {c |}{col 29}{res}{space 2} .4069203{col 41}{space 2} 1.380107{col 52}{space 1}    0.29{col 61}{space 3}0.768{col 69}{space 4}-1.863154{col 82}{space 3} 2.676995
{txt}{space 18}Slovakia  {c |}{col 29}{res}{space 2} 2.106879{col 41}{space 2} 1.373416{col 52}{space 1}    1.53{col 61}{space 3}0.125{col 69}{space 4}-.1521895{col 82}{space 3} 4.365948
{txt}{space 18}Slovenia  {c |}{col 29}{res}{space 2}  1.61343{col 41}{space 2}  1.36758{col 52}{space 1}    1.18{col 61}{space 3}0.238{col 69}{space 4} -.636038{col 82}{space 3} 3.862898
{txt}{space 11}Solomon Islands  {c |}{col 29}{res}{space 2} .9534581{col 41}{space 2} 1.409652{col 52}{space 1}    0.68{col 61}{space 3}0.499{col 69}{space 4}-1.365214{col 82}{space 3}  3.27213
{txt}{space 19}Somalia  {c |}{col 29}{res}{space 2} .6498564{col 41}{space 2} 1.366153{col 52}{space 1}    0.48{col 61}{space 3}0.634{col 69}{space 4}-1.597266{col 82}{space 3} 2.896979
{txt}{space 14}South Africa  {c |}{col 29}{res}{space 2} 1.885191{col 41}{space 2} 1.393621{col 52}{space 1}    1.35{col 61}{space 3}0.176{col 69}{space 4}-.4071118{col 82}{space 3} 4.177493
{txt}{space 21}Spain  {c |}{col 29}{res}{space 2} .1531603{col 41}{space 2} 1.410847{col 52}{space 1}    0.11{col 61}{space 3}0.914{col 69}{space 4}-2.167476{col 82}{space 3} 2.473797
{txt}{space 17}Sri Lanka  {c |}{col 29}{res}{space 2} 1.562953{col 41}{space 2} 1.366586{col 52}{space 1}    1.14{col 61}{space 3}0.253{col 69}{space 4}-.6848814{col 82}{space 3} 3.810788
{txt}{space 21}Sudan  {c |}{col 29}{res}{space 2} -.473851{col 41}{space 2} 1.425741{col 52}{space 1}   -0.33{col 61}{space 3}0.740{col 69}{space 4}-2.818986{col 82}{space 3} 1.871284
{txt}{space 17}Swaziland  {c |}{col 29}{res}{space 2}-.0699686{col 41}{space 2} 1.367476{col 52}{space 1}   -0.05{col 61}{space 3}0.959{col 69}{space 4}-2.319267{col 82}{space 3} 2.179329
{txt}{space 20}Sweden  {c |}{col 29}{res}{space 2} 2.685308{col 41}{space 2} 1.380549{col 52}{space 1}    1.95{col 61}{space 3}0.052{col 69}{space 4} .4145077{col 82}{space 3} 4.956109
{txt}{space 15}Switzerland  {c |}{col 29}{res}{space 2} 5.593557{col 41}{space 2}  1.36105{col 52}{space 1}    4.11{col 61}{space 3}0.000{col 69}{space 4} 3.354828{col 82}{space 3} 7.832285
{txt}{space 21}Syria  {c |}{col 29}{res}{space 2}-4.258591{col 41}{space 2} 1.476473{col 52}{space 1}   -2.88{col 61}{space 3}0.004{col 69}{space 4}-6.687172{col 82}{space 3} -1.83001
{txt}{space 16}Tajikistan  {c |}{col 29}{res}{space 2} .5304651{col 41}{space 2} 1.367559{col 52}{space 1}    0.39{col 61}{space 3}0.698{col 69}{space 4}-1.718969{col 82}{space 3} 2.779899
{txt}{space 18}Tanzania  {c |}{col 29}{res}{space 2} .0090425{col 41}{space 2} 1.418368{col 52}{space 1}    0.01{col 61}{space 3}0.995{col 69}{space 4}-2.323966{col 82}{space 3} 2.342051
{txt}{space 18}Thailand  {c |}{col 29}{res}{space 2}-2.284541{col 41}{space 2} 1.449483{col 52}{space 1}   -1.58{col 61}{space 3}0.115{col 69}{space 4}-4.668729{col 82}{space 3} .0996462
{txt}{space 15}Timor-Leste  {c |}{col 29}{res}{space 2}-.2642256{col 41}{space 2} 1.365944{col 52}{space 1}   -0.19{col 61}{space 3}0.847{col 69}{space 4}-2.511003{col 82}{space 3} 1.982552
{txt}{space 22}Togo  {c |}{col 29}{res}{space 2} .2277018{col 41}{space 2} 1.382004{col 52}{space 1}    0.16{col 61}{space 3}0.869{col 69}{space 4}-2.045492{col 82}{space 3} 2.500896
{txt}{space 19}Tunisia  {c |}{col 29}{res}{space 2}-3.040871{col 41}{space 2} 1.396156{col 52}{space 1}   -2.18{col 61}{space 3}0.029{col 69}{space 4}-5.337343{col 82}{space 3}-.7443988
{txt}{space 20}Turkey  {c |}{col 29}{res}{space 2}-1.985151{col 41}{space 2} 1.461113{col 52}{space 1}   -1.36{col 61}{space 3}0.174{col 69}{space 4}-4.388469{col 82}{space 3} .4181659
{txt}{space 14}Turkmenistan  {c |}{col 29}{res}{space 2}-3.162962{col 41}{space 2} 1.464612{col 52}{space 1}   -2.16{col 61}{space 3}0.031{col 69}{space 4}-5.572034{col 82}{space 3}-.7538891
{txt}{space 20}Uganda  {c |}{col 29}{res}{space 2}-.0263121{col 41}{space 2} 1.398306{col 52}{space 1}   -0.02{col 61}{space 3}0.985{col 69}{space 4}-2.326322{col 82}{space 3} 2.273697
{txt}{space 19}Ukraine  {c |}{col 29}{res}{space 2}-.1379044{col 41}{space 2} 1.427005{col 52}{space 1}   -0.10{col 61}{space 3}0.923{col 69}{space 4}-2.485119{col 82}{space 3}  2.20931
{txt}{space 6}United Arab Emirates  {c |}{col 29}{res}{space 2} .5232668{col 41}{space 2} 1.486931{col 52}{space 1}    0.35{col 61}{space 3}0.725{col 69}{space 4}-1.922517{col 82}{space 3} 2.969051
{txt}{space 12}United Kingdom  {c |}{col 29}{res}{space 2} 1.286397{col 41}{space 2}  1.47284{col 52}{space 1}    0.87{col 61}{space 3}0.382{col 69}{space 4}-1.136208{col 82}{space 3} 3.709003
{txt}{space 16}Uzbekistan  {c |}{col 29}{res}{space 2}-4.703471{col 41}{space 2} 1.445088{col 52}{space 1}   -3.25{col 61}{space 3}0.001{col 69}{space 4} -7.08043{col 82}{space 3}-2.326512
{txt}{space 18}Viet Nam  {c |}{col 29}{res}{space 2}-1.304528{col 41}{space 2} 1.379221{col 52}{space 1}   -0.95{col 61}{space 3}0.344{col 69}{space 4}-3.573144{col 82}{space 3} .9640883
{txt}{space 12}Western Sahara  {c |}{col 29}{res}{space 2} .3566001{col 41}{space 2} 1.486931{col 52}{space 1}    0.24{col 61}{space 3}0.810{col 69}{space 4}-2.089184{col 82}{space 3} 2.802384
{txt}{space 21}Yemen  {c |}{col 29}{res}{space 2} .8679524{col 41}{space 2} 1.486012{col 52}{space 1}    0.58{col 61}{space 3}0.559{col 69}{space 4}-1.576319{col 82}{space 3} 3.312224
{txt}{space 20}Zambia  {c |}{col 29}{res}{space 2} .3118763{col 41}{space 2} 1.417466{col 52}{space 1}    0.22{col 61}{space 3}0.826{col 69}{space 4}-2.019648{col 82}{space 3} 2.643401
{txt}{space 18}Zimbabwe  {c |}{col 29}{res}{space 2} .2971747{col 41}{space 2} 1.366724{col 52}{space 1}    0.22{col 61}{space 3}0.828{col 69}{space 4}-1.950887{col 82}{space 3} 2.545236
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-11.15128{col 41}{space 2} 1.012216{col 52}{space 1}  -11.02{col 61}{space 3}0.000{col 69}{space 4}-12.81623{col 82}{space 3}-9.486332
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 85}Instrumented:{space 2}city_pop_share{p_end}
{p 0 15 85}Instruments:{space 3}ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900{p_end}

{com}. 
. **Column 3**
. ivregress 2sls lead_polity (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900) `ln_oworld_flexible' `ln_tropical_flexible' `ln_rugged_flexible' `ln_elevation_flexible' i.year i.country, level(90)
{res}{txt}note: 1950.year identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     1,552
{txt}{col 1}{col 51}Wald chi2({res}185{txt}){col 67}= {res}   2851.74
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.6315
{txt}{col 51}Root MSE{col 67}=    {res} 2.9537

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                lead_polity{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [90% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}city_pop_share {c |}{col 29}{res}{space 2} 40.30858{col 41}{space 2} 11.36392{col 52}{space 1}    3.55{col 61}{space 3}0.000{col 69}{space 4}  21.6166{col 82}{space 3} 59.00057
{txt}{space 13}ln_oworld_1100 {c |}{col 29}{res}{space 2} .1120123{col 41}{space 2} .1451422{col 52}{space 1}    0.77{col 61}{space 3}0.440{col 69}{space 4}-.1267254{col 82}{space 3} .3507499
{txt}{space 13}ln_oworld_1200 {c |}{col 29}{res}{space 2} .0321438{col 41}{space 2} .1419548{col 52}{space 1}    0.23{col 61}{space 3}0.821{col 69}{space 4} -.201351{col 82}{space 3} .2656386
{txt}{space 13}ln_oworld_1300 {c |}{col 29}{res}{space 2} .0216725{col 41}{space 2} .1417969{col 52}{space 1}    0.15{col 61}{space 3}0.879{col 69}{space 4}-.2115627{col 82}{space 3} .2549077
{txt}{space 13}ln_oworld_1400 {c |}{col 29}{res}{space 2}-.0627902{col 41}{space 2} .1421905{col 52}{space 1}   -0.44{col 61}{space 3}0.659{col 69}{space 4}-.2966729{col 82}{space 3} .1710924
{txt}{space 13}ln_oworld_1500 {c |}{col 29}{res}{space 2}-.0349755{col 41}{space 2} .1415805{col 52}{space 1}   -0.25{col 61}{space 3}0.805{col 69}{space 4}-.2678547{col 82}{space 3} .1979037
{txt}{space 13}ln_oworld_1600 {c |}{col 29}{res}{space 2}-.0802034{col 41}{space 2} .1427905{col 52}{space 1}   -0.56{col 61}{space 3}0.574{col 69}{space 4}-.3150728{col 82}{space 3}  .154666
{txt}{space 13}ln_oworld_1700 {c |}{col 29}{res}{space 2}  .015313{col 41}{space 2}  .143621{col 52}{space 1}    0.11{col 61}{space 3}0.915{col 69}{space 4}-.2209225{col 82}{space 3} .2515485
{txt}{space 13}ln_oworld_1750 {c |}{col 29}{res}{space 2} .2984955{col 41}{space 2} .1433171{col 52}{space 1}    2.08{col 61}{space 3}0.037{col 69}{space 4} .0627599{col 82}{space 3} .5342311
{txt}{space 13}ln_oworld_1800 {c |}{col 29}{res}{space 2} .5719236{col 41}{space 2} .1444159{col 52}{space 1}    3.96{col 61}{space 3}0.000{col 69}{space 4} .3343806{col 82}{space 3} .8094666
{txt}{space 13}ln_oworld_1850 {c |}{col 29}{res}{space 2} .9312256{col 41}{space 2} .1438342{col 52}{space 1}    6.47{col 61}{space 3}0.000{col 69}{space 4} .6946395{col 82}{space 3} 1.167812
{txt}{space 13}ln_oworld_1900 {c |}{col 29}{res}{space 2} .8494838{col 41}{space 2}  .195826{col 52}{space 1}    4.34{col 61}{space 3}0.000{col 69}{space 4} .5273788{col 82}{space 3} 1.171589
{txt}{space 11}ln_tropical_1100 {c |}{col 29}{res}{space 2}-.0079092{col 41}{space 2} .0867526{col 52}{space 1}   -0.09{col 61}{space 3}0.927{col 69}{space 4}-.1506045{col 82}{space 3} .1347862
{txt}{space 11}ln_tropical_1200 {c |}{col 29}{res}{space 2}-.0122436{col 41}{space 2} .0867926{col 52}{space 1}   -0.14{col 61}{space 3}0.888{col 69}{space 4}-.1550047{col 82}{space 3} .1305175
{txt}{space 11}ln_tropical_1300 {c |}{col 29}{res}{space 2}-.0392367{col 41}{space 2} .0874266{col 52}{space 1}   -0.45{col 61}{space 3}0.654{col 69}{space 4}-.1830406{col 82}{space 3} .1045672
{txt}{space 11}ln_tropical_1400 {c |}{col 29}{res}{space 2}  .021018{col 41}{space 2} .0865433{col 52}{space 1}    0.24{col 61}{space 3}0.808{col 69}{space 4} -.121333{col 82}{space 3}  .163369
{txt}{space 11}ln_tropical_1500 {c |}{col 29}{res}{space 2}-.0042125{col 41}{space 2} .0865013{col 52}{space 1}   -0.05{col 61}{space 3}0.961{col 69}{space 4}-.1464945{col 82}{space 3} .1380694
{txt}{space 11}ln_tropical_1600 {c |}{col 29}{res}{space 2}-.0330438{col 41}{space 2} .0871668{col 52}{space 1}   -0.38{col 61}{space 3}0.705{col 69}{space 4}-.1764204{col 82}{space 3} .1103329
{txt}{space 11}ln_tropical_1700 {c |}{col 29}{res}{space 2}-.0249032{col 41}{space 2} .0875012{col 52}{space 1}   -0.28{col 61}{space 3}0.776{col 69}{space 4}-.1688299{col 82}{space 3} .1190235
{txt}{space 11}ln_tropical_1750 {c |}{col 29}{res}{space 2}-.1921965{col 41}{space 2} .0869295{col 52}{space 1}   -2.21{col 61}{space 3}0.027{col 69}{space 4}-.3351828{col 82}{space 3}-.0492102
{txt}{space 11}ln_tropical_1800 {c |}{col 29}{res}{space 2}-.3187584{col 41}{space 2} .0874178{col 52}{space 1}   -3.65{col 61}{space 3}0.000{col 69}{space 4}-.4625479{col 82}{space 3}-.1749689
{txt}{space 11}ln_tropical_1850 {c |}{col 29}{res}{space 2}-.3737556{col 41}{space 2} .0870373{col 52}{space 1}   -4.29{col 61}{space 3}0.000{col 69}{space 4}-.5169192{col 82}{space 3}-.2305919
{txt}{space 11}ln_tropical_1900 {c |}{col 29}{res}{space 2}-.0650848{col 41}{space 2}  .122883{col 52}{space 1}   -0.53{col 61}{space 3}0.596{col 69}{space 4}-.2672094{col 82}{space 3} .1370398
{txt}{space 13}ln_rugged_1100 {c |}{col 29}{res}{space 2} .4282972{col 41}{space 2} .5271301{col 52}{space 1}    0.81{col 61}{space 3}0.417{col 69}{space 4}-.4387545{col 82}{space 3} 1.295349
{txt}{space 13}ln_rugged_1200 {c |}{col 29}{res}{space 2} .1829354{col 41}{space 2} .5156997{col 52}{space 1}    0.35{col 61}{space 3}0.723{col 69}{space 4} -.665315{col 82}{space 3} 1.031186
{txt}{space 13}ln_rugged_1300 {c |}{col 29}{res}{space 2} .2379541{col 41}{space 2} .5174811{col 52}{space 1}    0.46{col 61}{space 3}0.646{col 69}{space 4}-.6132265{col 82}{space 3} 1.089135
{txt}{space 13}ln_rugged_1400 {c |}{col 29}{res}{space 2} .3465676{col 41}{space 2} .5226481{col 52}{space 1}    0.66{col 61}{space 3}0.507{col 69}{space 4} -.513112{col 82}{space 3} 1.206247
{txt}{space 13}ln_rugged_1500 {c |}{col 29}{res}{space 2}  .185056{col 41}{space 2} .5154949{col 52}{space 1}    0.36{col 61}{space 3}0.720{col 69}{space 4}-.6628576{col 82}{space 3}  1.03297
{txt}{space 13}ln_rugged_1600 {c |}{col 29}{res}{space 2} .0076452{col 41}{space 2} .5122079{col 52}{space 1}    0.01{col 61}{space 3}0.988{col 69}{space 4}-.8348618{col 82}{space 3} .8501522
{txt}{space 13}ln_rugged_1700 {c |}{col 29}{res}{space 2} .4305292{col 41}{space 2} .5183099{col 52}{space 1}    0.83{col 61}{space 3}0.406{col 69}{space 4}-.4220147{col 82}{space 3} 1.283073
{txt}{space 13}ln_rugged_1750 {c |}{col 29}{res}{space 2} .8270549{col 41}{space 2} .5142839{col 52}{space 1}    1.61{col 61}{space 3}0.108{col 69}{space 4}-.0188669{col 82}{space 3} 1.672977
{txt}{space 13}ln_rugged_1800 {c |}{col 29}{res}{space 2} 1.670712{col 41}{space 2} .5137959{col 52}{space 1}    3.25{col 61}{space 3}0.001{col 69}{space 4} .8255931{col 82}{space 3} 2.515831
{txt}{space 13}ln_rugged_1850 {c |}{col 29}{res}{space 2} 2.997153{col 41}{space 2} .5139232{col 52}{space 1}    5.83{col 61}{space 3}0.000{col 69}{space 4} 2.151825{col 82}{space 3} 3.842482
{txt}{space 13}ln_rugged_1900 {c |}{col 29}{res}{space 2} 1.551619{col 41}{space 2} .5121393{col 52}{space 1}    3.03{col 61}{space 3}0.002{col 69}{space 4} .7092249{col 82}{space 3} 2.394013
{txt}{space 10}ln_elevation_1100 {c |}{col 29}{res}{space 2} -.270977{col 41}{space 2} .5200485{col 52}{space 1}   -0.52{col 61}{space 3}0.602{col 69}{space 4}-1.126381{col 82}{space 3} .5844266
{txt}{space 10}ln_elevation_1200 {c |}{col 29}{res}{space 2}-.1393791{col 41}{space 2} .5159053{col 52}{space 1}   -0.27{col 61}{space 3}0.787{col 69}{space 4}-.9879679{col 82}{space 3} .7092096
{txt}{space 10}ln_elevation_1300 {c |}{col 29}{res}{space 2}-.1451079{col 41}{space 2} .5160309{col 52}{space 1}   -0.28{col 61}{space 3}0.779{col 69}{space 4}-.9939032{col 82}{space 3} .7036873
{txt}{space 10}ln_elevation_1400 {c |}{col 29}{res}{space 2}-.0595093{col 41}{space 2} .5146094{col 52}{space 1}   -0.12{col 61}{space 3}0.908{col 69}{space 4}-.9059665{col 82}{space 3} .7869478
{txt}{space 10}ln_elevation_1500 {c |}{col 29}{res}{space 2}-.1784498{col 41}{space 2} .5171621{col 52}{space 1}   -0.35{col 61}{space 3}0.730{col 69}{space 4}-1.029106{col 82}{space 3} .6722061
{txt}{space 10}ln_elevation_1600 {c |}{col 29}{res}{space 2} .0859884{col 41}{space 2} .5144502{col 52}{space 1}    0.17{col 61}{space 3}0.867{col 69}{space 4}-.7602069{col 82}{space 3} .9321838
{txt}{space 10}ln_elevation_1700 {c |}{col 29}{res}{space 2}-.2245118{col 41}{space 2} .5167221{col 52}{space 1}   -0.43{col 61}{space 3}0.664{col 69}{space 4}-1.074444{col 82}{space 3} .6254204
{txt}{space 10}ln_elevation_1750 {c |}{col 29}{res}{space 2}-.6083268{col 41}{space 2} .5187767{col 52}{space 1}   -1.17{col 61}{space 3}0.241{col 69}{space 4}-1.461639{col 82}{space 3} .2449849
{txt}{space 10}ln_elevation_1800 {c |}{col 29}{res}{space 2}-1.045607{col 41}{space 2} .5201634{col 52}{space 1}   -2.01{col 61}{space 3}0.044{col 69}{space 4}  -1.9012{col 82}{space 3}-.1900147
{txt}{space 10}ln_elevation_1850 {c |}{col 29}{res}{space 2}-2.972742{col 41}{space 2} .5219474{col 52}{space 1}   -5.70{col 61}{space 3}0.000{col 69}{space 4}-3.831269{col 82}{space 3}-2.114215
{txt}{space 10}ln_elevation_1900 {c |}{col 29}{res}{space 2}-1.333637{col 41}{space 2} .5935162{col 52}{space 1}   -2.25{col 61}{space 3}0.025{col 69}{space 4}-2.309885{col 82}{space 3}  -.35739
{txt}{space 27} {c |}
{space 23}year {c |}
{space 22}1100  {c |}{col 29}{res}{space 2}  .916779{col 41}{space 2} 3.170593{col 52}{space 1}    0.29{col 61}{space 3}0.772{col 69}{space 4}-4.298383{col 82}{space 3} 6.131941
{txt}{space 22}1200  {c |}{col 29}{res}{space 2} .6577318{col 41}{space 2} 3.165477{col 52}{space 1}    0.21{col 61}{space 3}0.835{col 69}{space 4}-4.549014{col 82}{space 3} 5.864478
{txt}{space 22}1300  {c |}{col 29}{res}{space 2} 1.151361{col 41}{space 2} 3.176668{col 52}{space 1}    0.36{col 61}{space 3}0.717{col 69}{space 4}-4.073793{col 82}{space 3} 6.376516
{txt}{space 22}1400  {c |}{col 29}{res}{space 2} .6638784{col 41}{space 2} 3.166124{col 52}{space 1}    0.21{col 61}{space 3}0.834{col 69}{space 4}-4.543932{col 82}{space 3} 5.871689
{txt}{space 22}1500  {c |}{col 29}{res}{space 2} 1.287044{col 41}{space 2} 3.183142{col 52}{space 1}    0.40{col 61}{space 3}0.686{col 69}{space 4}-3.948758{col 82}{space 3} 6.522846
{txt}{space 22}1600  {c |}{col 29}{res}{space 2} .0444632{col 41}{space 2} 3.158815{col 52}{space 1}    0.01{col 61}{space 3}0.989{col 69}{space 4}-5.151326{col 82}{space 3} 5.240252
{txt}{space 22}1700  {c |}{col 29}{res}{space 2}  1.83503{col 41}{space 2} 3.165828{col 52}{space 1}    0.58{col 61}{space 3}0.562{col 69}{space 4}-3.372294{col 82}{space 3} 7.042355
{txt}{space 22}1750  {c |}{col 29}{res}{space 2} 3.915139{col 41}{space 2} 3.174338{col 52}{space 1}    1.23{col 61}{space 3}0.217{col 69}{space 4}-1.306182{col 82}{space 3} 9.136461
{txt}{space 22}1800  {c |}{col 29}{res}{space 2} 6.194447{col 41}{space 2}  3.17757{col 52}{space 1}    1.95{col 61}{space 3}0.051{col 69}{space 4} .9678087{col 82}{space 3} 11.42108
{txt}{space 22}1850  {c |}{col 29}{res}{space 2} 17.99987{col 41}{space 2} 3.184189{col 52}{space 1}    5.65{col 61}{space 3}0.000{col 69}{space 4} 12.76235{col 82}{space 3}  23.2374
{txt}{space 22}1900  {c |}{col 29}{res}{space 2} 12.46051{col 41}{space 2} 3.566595{col 52}{space 1}    3.49{col 61}{space 3}0.000{col 69}{space 4} 6.593987{col 82}{space 3} 18.32704
{txt}{space 22}1950  {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (empty)
{space 27} {c |}
{space 20}country {c |}
{space 19}Albania  {c |}{col 29}{res}{space 2}-.0367923{col 41}{space 2} 1.295714{col 52}{space 1}   -0.03{col 61}{space 3}0.977{col 69}{space 4}-2.168053{col 82}{space 3} 2.094468
{txt}{space 19}Algeria  {c |}{col 29}{res}{space 2} -1.20226{col 41}{space 2}  1.27487{col 52}{space 1}   -0.94{col 61}{space 3}0.346{col 69}{space 4}-3.299234{col 82}{space 3} .8947143
{txt}{space 20}Angola  {c |}{col 29}{res}{space 2} .6280295{col 41}{space 2} 1.365715{col 52}{space 1}    0.46{col 61}{space 3}0.646{col 69}{space 4}-1.618373{col 82}{space 3} 2.874432
{txt}{space 19}Armenia  {c |}{col 29}{res}{space 2} 1.078457{col 41}{space 2} 1.225344{col 52}{space 1}    0.88{col 61}{space 3}0.379{col 69}{space 4} -.937055{col 82}{space 3} 3.093969
{txt}{space 17}Australia  {c |}{col 29}{res}{space 2} 5.931779{col 41}{space 2} 1.471584{col 52}{space 1}    4.03{col 61}{space 3}0.000{col 69}{space 4} 3.511239{col 82}{space 3}  8.35232
{txt}{space 19}Austria  {c |}{col 29}{res}{space 2} .5263714{col 41}{space 2} 1.311787{col 52}{space 1}    0.40{col 61}{space 3}0.688{col 69}{space 4}-1.631327{col 82}{space 3} 2.684069
{txt}{space 16}Bangladesh  {c |}{col 29}{res}{space 2} 2.072302{col 41}{space 2} 1.745149{col 52}{space 1}    1.19{col 61}{space 3}0.235{col 69}{space 4}-.7982128{col 82}{space 3} 4.942817
{txt}{space 19}Belarus  {c |}{col 29}{res}{space 2}-.5203877{col 41}{space 2} 1.488759{col 52}{space 1}   -0.35{col 61}{space 3}0.727{col 69}{space 4}-2.969179{col 82}{space 3} 1.928403
{txt}{space 19}Belgium  {c |}{col 29}{res}{space 2} 1.394596{col 41}{space 2} 1.436725{col 52}{space 1}    0.97{col 61}{space 3}0.332{col 69}{space 4}-.9686065{col 82}{space 3} 3.757799
{txt}{space 21}Benin  {c |}{col 29}{res}{space 2}  2.08186{col 41}{space 2} 1.483852{col 52}{space 1}    1.40{col 61}{space 3}0.161{col 69}{space 4} -.358859{col 82}{space 3} 4.522579
{txt}{space 20}Bhutan  {c |}{col 29}{res}{space 2}-.0945895{col 41}{space 2} 1.285573{col 52}{space 1}   -0.07{col 61}{space 3}0.941{col 69}{space 4}-2.209169{col 82}{space 3}  2.01999
{txt}{space 4}Bosnia and Herzegovina  {c |}{col 29}{res}{space 2} .1885647{col 41}{space 2} 1.285888{col 52}{space 1}    0.15{col 61}{space 3}0.883{col 69}{space 4}-1.926532{col 82}{space 3} 2.303662
{txt}{space 18}Botswana  {c |}{col 29}{res}{space 2} 2.339075{col 41}{space 2} 1.490385{col 52}{space 1}    1.57{col 61}{space 3}0.117{col 69}{space 4}-.1123907{col 82}{space 3} 4.790541
{txt}{space 18}Bulgaria  {c |}{col 29}{res}{space 2} .1651135{col 41}{space 2} 1.322968{col 52}{space 1}    0.12{col 61}{space 3}0.901{col 69}{space 4}-2.010975{col 82}{space 3} 2.341202
{txt}{space 14}Burkina Faso  {c |}{col 29}{res}{space 2} 1.172686{col 41}{space 2} 1.436974{col 52}{space 1}    0.82{col 61}{space 3}0.414{col 69}{space 4}-1.190925{col 82}{space 3} 3.536298
{txt}{space 19}Burundi  {c |}{col 29}{res}{space 2} 1.181569{col 41}{space 2} 1.297243{col 52}{space 1}    0.91{col 61}{space 3}0.362{col 69}{space 4}-.9522061{col 82}{space 3} 3.315343
{txt}{space 18}Cambodia  {c |}{col 29}{res}{space 2}-1.335921{col 41}{space 2} 1.496258{col 52}{space 1}   -0.89{col 61}{space 3}0.372{col 69}{space 4}-3.797047{col 82}{space 3} 1.125205
{txt}{space 18}Cameroon  {c |}{col 29}{res}{space 2} .6430721{col 41}{space 2}  1.39762{col 52}{space 1}    0.46{col 61}{space 3}0.645{col 69}{space 4}-1.655809{col 82}{space 3} 2.941953
{txt}{space 2}Central African Republic  {c |}{col 29}{res}{space 2} 1.972878{col 41}{space 2} 1.478935{col 52}{space 1}    1.33{col 61}{space 3}0.182{col 69}{space 4}-.4597541{col 82}{space 3} 4.405509
{txt}{space 22}Chad  {c |}{col 29}{res}{space 2}  .964079{col 41}{space 2} 1.389733{col 52}{space 1}    0.69{col 61}{space 3}0.488{col 69}{space 4}-1.321829{col 82}{space 3} 3.249987
{txt}{space 21}China  {c |}{col 29}{res}{space 2} .0586239{col 41}{space 2} 1.306577{col 52}{space 1}    0.04{col 61}{space 3}0.964{col 69}{space 4}-2.090504{col 82}{space 3} 2.207752
{txt}{space 21}Congo  {c |}{col 29}{res}{space 2} 1.045978{col 41}{space 2} 1.484162{col 52}{space 1}    0.70{col 61}{space 3}0.481{col 69}{space 4}-1.395252{col 82}{space 3} 3.487208
{txt}Congo, Democratic Republic  {c |}{col 29}{res}{space 2} 1.033194{col 41}{space 2} 1.444289{col 52}{space 1}    0.72{col 61}{space 3}0.474{col 69}{space 4}-1.342451{col 82}{space 3} 3.408839
{txt}{space 14}Cote dIvoire  {c |}{col 29}{res}{space 2}   1.4118{col 41}{space 2} 1.471041{col 52}{space 1}    0.96{col 61}{space 3}0.337{col 69}{space 4}-1.007846{col 82}{space 3} 3.831447
{txt}{space 19}Croatia  {c |}{col 29}{res}{space 2} .1461021{col 41}{space 2} 1.347295{col 52}{space 1}    0.11{col 61}{space 3}0.914{col 69}{space 4}-2.070001{col 82}{space 3} 2.362205
{txt}{space 12}Czech Republic  {c |}{col 29}{res}{space 2} .7052457{col 41}{space 2} 1.279441{col 52}{space 1}    0.55{col 61}{space 3}0.581{col 69}{space 4}-1.399247{col 82}{space 3} 2.809738
{txt}{space 19}Denmark  {c |}{col 29}{res}{space 2} 1.711642{col 41}{space 2} 1.589066{col 52}{space 1}    1.08{col 61}{space 3}0.281{col 69}{space 4}-.9021387{col 82}{space 3} 4.325422
{txt}{space 18}Djibouti  {c |}{col 29}{res}{space 2} 1.071022{col 41}{space 2} 1.406718{col 52}{space 1}    0.76{col 61}{space 3}0.446{col 69}{space 4}-1.242823{col 82}{space 3} 3.384867
{txt}{space 21}Egypt  {c |}{col 29}{res}{space 2}-1.852626{col 41}{space 2} 1.465436{col 52}{space 1}   -1.26{col 61}{space 3}0.206{col 69}{space 4}-4.263054{col 82}{space 3} .5578014
{txt}{space 9}Equatorial Guinea  {c |}{col 29}{res}{space 2} .9553182{col 41}{space 2} 1.352886{col 52}{space 1}    0.71{col 61}{space 3}0.480{col 69}{space 4}-1.269981{col 82}{space 3} 3.180618
{txt}{space 19}Eritrea  {c |}{col 29}{res}{space 2}-.0700291{col 41}{space 2} 1.267647{col 52}{space 1}   -0.06{col 61}{space 3}0.956{col 69}{space 4}-2.155123{col 82}{space 3} 2.015065
{txt}{space 19}Estonia  {c |}{col 29}{res}{space 2} .6594918{col 41}{space 2}   1.5405{col 52}{space 1}    0.43{col 61}{space 3}0.669{col 69}{space 4}-1.874405{col 82}{space 3} 3.193389
{txt}{space 18}Ethiopia  {c |}{col 29}{res}{space 2} 1.717304{col 41}{space 2} 1.343503{col 52}{space 1}    1.28{col 61}{space 3}0.201{col 69}{space 4}-.4925612{col 82}{space 3} 3.927169
{txt}{space 22}Fiji  {c |}{col 29}{res}{space 2} 1.892147{col 41}{space 2} 1.616054{col 52}{space 1}    1.17{col 61}{space 3}0.242{col 69}{space 4}-.7660261{col 82}{space 3}  4.55032
{txt}{space 19}Finland  {c |}{col 29}{res}{space 2} 2.996254{col 41}{space 2} 1.572067{col 52}{space 1}    1.91{col 61}{space 3}0.057{col 69}{space 4} .4104333{col 82}{space 3} 5.582074
{txt}{space 20}France  {c |}{col 29}{res}{space 2} 2.926279{col 41}{space 2} 1.348565{col 52}{space 1}    2.17{col 61}{space 3}0.030{col 69}{space 4}  .708088{col 82}{space 3} 5.144471
{txt}{space 21}Gabon  {c |}{col 29}{res}{space 2} 1.114866{col 41}{space 2} 1.448572{col 52}{space 1}    0.77{col 61}{space 3}0.442{col 69}{space 4}-1.267822{col 82}{space 3} 3.497554
{txt}{space 20}Gambia  {c |}{col 29}{res}{space 2}-.3083062{col 41}{space 2} 1.760255{col 52}{space 1}   -0.18{col 61}{space 3}0.861{col 69}{space 4}-3.203669{col 82}{space 3} 2.587056
{txt}{space 19}Germany  {c |}{col 29}{res}{space 2} 1.617723{col 41}{space 2} 1.351365{col 52}{space 1}    1.20{col 61}{space 3}0.231{col 69}{space 4}-.6050743{col 82}{space 3}  3.84052
{txt}{space 21}Ghana  {c |}{col 29}{res}{space 2} 1.006987{col 41}{space 2} 1.482995{col 52}{space 1}    0.68{col 61}{space 3}0.497{col 69}{space 4}-1.432323{col 82}{space 3} 3.446296
{txt}{space 20}Greece  {c |}{col 29}{res}{space 2} 1.483005{col 41}{space 2} 1.347437{col 52}{space 1}    1.10{col 61}{space 3}0.271{col 69}{space 4}-.7333311{col 82}{space 3} 3.699342
{txt}{space 20}Guinea  {c |}{col 29}{res}{space 2} .6040601{col 41}{space 2} 1.393285{col 52}{space 1}    0.43{col 61}{space 3}0.665{col 69}{space 4} -1.68769{col 82}{space 3}  2.89581
{txt}{space 13}Guinea-Bissau  {c |}{col 29}{res}{space 2} .3788579{col 41}{space 2} 1.717383{col 52}{space 1}    0.22{col 61}{space 3}0.825{col 69}{space 4}-2.445985{col 82}{space 3} 3.203701
{txt}{space 19}Hungary  {c |}{col 29}{res}{space 2} .7543432{col 41}{space 2} 1.394722{col 52}{space 1}    0.54{col 61}{space 3}0.589{col 69}{space 4} -1.53977{col 82}{space 3} 3.048457
{txt}{space 19}Iceland  {c |}{col 29}{res}{space 2} .5096267{col 41}{space 2} 1.379925{col 52}{space 1}    0.37{col 61}{space 3}0.712{col 69}{space 4}-1.760147{col 82}{space 3} 2.779401
{txt}{space 21}India  {c |}{col 29}{res}{space 2} 2.080107{col 41}{space 2} 1.405121{col 52}{space 1}    1.48{col 61}{space 3}0.139{col 69}{space 4}-.2311116{col 82}{space 3} 4.391326
{txt}{space 17}Indonesia  {c |}{col 29}{res}{space 2} 1.519988{col 41}{space 2}  1.46079{col 52}{space 1}    1.04{col 61}{space 3}0.298{col 69}{space 4}-.8827982{col 82}{space 3} 3.922775
{txt}{space 22}Iran  {c |}{col 29}{res}{space 2}-1.629087{col 41}{space 2} 1.320179{col 52}{space 1}   -1.23{col 61}{space 3}0.217{col 69}{space 4}-3.800588{col 82}{space 3} .5424142
{txt}{space 22}Iraq  {c |}{col 29}{res}{space 2}-3.511472{col 41}{space 2}  1.40089{col 52}{space 1}   -2.51{col 61}{space 3}0.012{col 69}{space 4}-5.815731{col 82}{space 3}-1.207212
{txt}{space 19}Ireland  {c |}{col 29}{res}{space 2} 1.319369{col 41}{space 2} 1.544535{col 52}{space 1}    0.85{col 61}{space 3}0.393{col 69}{space 4}-1.221164{col 82}{space 3} 3.859903
{txt}{space 20}Israel  {c |}{col 29}{res}{space 2} .0760431{col 41}{space 2} 1.358048{col 52}{space 1}    0.06{col 61}{space 3}0.955{col 69}{space 4}-2.157746{col 82}{space 3} 2.309833
{txt}{space 21}Italy  {c |}{col 29}{res}{space 2}-.1772508{col 41}{space 2}  1.37581{col 52}{space 1}   -0.13{col 61}{space 3}0.897{col 69}{space 4}-2.440257{col 82}{space 3} 2.085755
{txt}{space 21}Japan  {c |}{col 29}{res}{space 2}  .582796{col 41}{space 2} 1.361463{col 52}{space 1}    0.43{col 61}{space 3}0.669{col 69}{space 4}-1.656611{col 82}{space 3} 2.822203
{txt}{space 20}Jordan  {c |}{col 29}{res}{space 2}  .901812{col 41}{space 2}  1.27579{col 52}{space 1}    0.71{col 61}{space 3}0.480{col 69}{space 4}-1.196675{col 82}{space 3} 3.000299
{txt}{space 16}Kazakhstan  {c |}{col 29}{res}{space 2} .2196897{col 41}{space 2} 1.359938{col 52}{space 1}    0.16{col 61}{space 3}0.872{col 69}{space 4} -2.01721{col 82}{space 3} 2.456589
{txt}{space 21}Kenya  {c |}{col 29}{res}{space 2} 1.049491{col 41}{space 2} 1.363466{col 52}{space 1}    0.77{col 61}{space 3}0.441{col 69}{space 4}-1.193211{col 82}{space 3} 3.292193
{txt}{space 16}Korea, DPR  {c |}{col 29}{res}{space 2} .2819959{col 41}{space 2} 1.284634{col 52}{space 1}    0.22{col 61}{space 3}0.826{col 69}{space 4}-1.831038{col 82}{space 3}  2.39503
{txt}{space 11}Korea, Republic  {c |}{col 29}{res}{space 2} 2.117328{col 41}{space 2} 1.374063{col 52}{space 1}    1.54{col 61}{space 3}0.123{col 69}{space 4}-.1428043{col 82}{space 3} 4.377459
{txt}{space 20}Kuwait  {c |}{col 29}{res}{space 2} 1.244373{col 41}{space 2} 1.533629{col 52}{space 1}    0.81{col 61}{space 3}0.417{col 69}{space 4}-1.278222{col 82}{space 3} 3.766967
{txt}{space 16}Kyrgyzstan  {c |}{col 29}{res}{space 2}-.9871953{col 41}{space 2} 1.224831{col 52}{space 1}   -0.81{col 61}{space 3}0.420{col 69}{space 4}-3.001863{col 82}{space 3} 1.027473
{txt}{space 22}Laos  {c |}{col 29}{res}{space 2}-1.286202{col 41}{space 2} 1.387114{col 52}{space 1}   -0.93{col 61}{space 3}0.354{col 69}{space 4}-3.567801{col 82}{space 3} .9953974
{txt}{space 20}Latvia  {c |}{col 29}{res}{space 2}-.1370458{col 41}{space 2} 1.463862{col 52}{space 1}   -0.09{col 61}{space 3}0.925{col 69}{space 4}-2.544884{col 82}{space 3} 2.270793
{txt}{space 19}Lebanon  {c |}{col 29}{res}{space 2} -.620896{col 41}{space 2} 1.263025{col 52}{space 1}   -0.49{col 61}{space 3}0.623{col 69}{space 4}-2.698387{col 82}{space 3} 1.456595
{txt}{space 19}Lesotho  {c |}{col 29}{res}{space 2} .3485225{col 41}{space 2} 1.244115{col 52}{space 1}    0.28{col 61}{space 3}0.779{col 69}{space 4}-1.697864{col 82}{space 3} 2.394909
{txt}{space 19}Liberia  {c |}{col 29}{res}{space 2} 3.277789{col 41}{space 2} 1.436082{col 52}{space 1}    2.28{col 61}{space 3}0.022{col 69}{space 4} .9156446{col 82}{space 3} 5.639934
{txt}{space 21}Libya  {c |}{col 29}{res}{space 2} .4073552{col 41}{space 2} 1.337478{col 52}{space 1}    0.30{col 61}{space 3}0.761{col 69}{space 4}  -1.7926{col 82}{space 3} 2.607311
{txt}{space 17}Lithuania  {c |}{col 29}{res}{space 2}-1.353312{col 41}{space 2} 1.441889{col 52}{space 1}   -0.94{col 61}{space 3}0.348{col 69}{space 4}-3.725008{col 82}{space 3} 1.018385
{txt}{space 17}Macedonia  {c |}{col 29}{res}{space 2}-2.424563{col 41}{space 2} 1.374528{col 52}{space 1}   -1.76{col 61}{space 3}0.078{col 69}{space 4}-4.685461{col 82}{space 3}-.1636659
{txt}{space 16}Madagascar  {c |}{col 29}{res}{space 2} .9697023{col 41}{space 2} 1.393637{col 52}{space 1}    0.70{col 61}{space 3}0.487{col 69}{space 4}-1.322627{col 82}{space 3} 3.262031
{txt}{space 20}Malawi  {c |}{col 29}{res}{space 2} 1.453073{col 41}{space 2} 1.315323{col 52}{space 1}    1.10{col 61}{space 3}0.269{col 69}{space 4}-.7104407{col 82}{space 3} 3.616587
{txt}{space 18}Malaysia  {c |}{col 29}{res}{space 2} .8298285{col 41}{space 2} 1.447602{col 52}{space 1}    0.57{col 61}{space 3}0.566{col 69}{space 4}-1.551264{col 82}{space 3} 3.210921
{txt}{space 22}Mali  {c |}{col 29}{res}{space 2} 1.580747{col 41}{space 2} 1.439786{col 52}{space 1}    1.10{col 61}{space 3}0.272{col 69}{space 4}-.7874898{col 82}{space 3} 3.948984
{txt}{space 16}Mauritania  {c |}{col 29}{res}{space 2} 1.774533{col 41}{space 2} 1.523937{col 52}{space 1}    1.16{col 61}{space 3}0.244{col 69}{space 4}-.7321209{col 82}{space 3} 4.281187
{txt}{space 19}Moldova  {c |}{col 29}{res}{space 2}-.3094434{col 41}{space 2} 1.411939{col 52}{space 1}   -0.22{col 61}{space 3}0.827{col 69}{space 4}-2.631876{col 82}{space 3} 2.012989
{txt}{space 18}Mongolia  {c |}{col 29}{res}{space 2} 2.503043{col 41}{space 2} 1.295371{col 52}{space 1}    1.93{col 61}{space 3}0.053{col 69}{space 4} .3723469{col 82}{space 3}  4.63374
{txt}{space 19}Morocco  {c |}{col 29}{res}{space 2}-4.172662{col 41}{space 2} 1.525443{col 52}{space 1}   -2.74{col 61}{space 3}0.006{col 69}{space 4}-6.681793{col 82}{space 3}-1.663532
{txt}{space 16}Mozambique  {c |}{col 29}{res}{space 2} .9294764{col 41}{space 2} 1.443542{col 52}{space 1}    0.64{col 61}{space 3}0.520{col 69}{space 4}-1.444939{col 82}{space 3} 3.303892
{txt}{space 19}Myanmar  {c |}{col 29}{res}{space 2}-.1195967{col 41}{space 2} 1.411046{col 52}{space 1}   -0.08{col 61}{space 3}0.932{col 69}{space 4} -2.44056{col 82}{space 3} 2.201367
{txt}{space 19}Namibia  {c |}{col 29}{res}{space 2} 1.335083{col 41}{space 2} 1.263903{col 52}{space 1}    1.06{col 61}{space 3}0.291{col 69}{space 4}-.7438526{col 82}{space 3} 3.414018
{txt}{space 21}Nepal  {c |}{col 29}{res}{space 2} 2.176355{col 41}{space 2} 1.237216{col 52}{space 1}    1.76{col 61}{space 3}0.079{col 69}{space 4} .1413156{col 82}{space 3} 4.211394
{txt}{space 15}Netherlands  {c |}{col 29}{res}{space 2} 1.875322{col 41}{space 2} 1.786388{col 52}{space 1}    1.05{col 61}{space 3}0.294{col 69}{space 4}-1.063025{col 82}{space 3} 4.813669
{txt}{space 15}New Zealand  {c |}{col 29}{res}{space 2} 3.270573{col 41}{space 2} 1.436808{col 52}{space 1}    2.28{col 61}{space 3}0.023{col 69}{space 4} .9072341{col 82}{space 3} 5.633913
{txt}{space 21}Niger  {c |}{col 29}{res}{space 2} 1.425294{col 41}{space 2} 1.395565{col 52}{space 1}    1.02{col 61}{space 3}0.307{col 69}{space 4}-.8702063{col 82}{space 3} 3.720794
{txt}{space 19}Nigeria  {c |}{col 29}{res}{space 2} .5449786{col 41}{space 2} 1.419532{col 52}{space 1}    0.38{col 61}{space 3}0.701{col 69}{space 4}-1.789943{col 82}{space 3}   2.8799
{txt}{space 20}Norway  {c |}{col 29}{res}{space 2} 3.786493{col 41}{space 2} 1.273269{col 52}{space 1}    2.97{col 61}{space 3}0.003{col 69}{space 4} 1.692152{col 82}{space 3} 5.880833
{txt}{space 22}Oman  {c |}{col 29}{res}{space 2} 1.452214{col 41}{space 2} 1.416957{col 52}{space 1}    1.02{col 61}{space 3}0.305{col 69}{space 4} -.878472{col 82}{space 3}   3.7829
{txt}{space 18}Pakistan  {c |}{col 29}{res}{space 2} .3940998{col 41}{space 2} 1.245383{col 52}{space 1}    0.32{col 61}{space 3}0.752{col 69}{space 4}-1.654373{col 82}{space 3} 2.442572
{txt}{space 10}Papua New Guinea  {c |}{col 29}{res}{space 2} 1.050919{col 41}{space 2} 1.399637{col 52}{space 1}    0.75{col 61}{space 3}0.453{col 69}{space 4} -1.25128{col 82}{space 3} 3.353117
{txt}{space 15}Philippines  {c |}{col 29}{res}{space 2} 1.386553{col 41}{space 2} 1.487997{col 52}{space 1}    0.93{col 61}{space 3}0.351{col 69}{space 4}-1.060984{col 82}{space 3}  3.83409
{txt}{space 20}Poland  {c |}{col 29}{res}{space 2} .0674373{col 41}{space 2} 1.413798{col 52}{space 1}    0.05{col 61}{space 3}0.962{col 69}{space 4}-2.258054{col 82}{space 3} 2.392928
{txt}{space 18}Portugal  {c |}{col 29}{res}{space 2}-.7335557{col 41}{space 2} 1.336731{col 52}{space 1}   -0.55{col 61}{space 3}0.583{col 69}{space 4}-2.932283{col 82}{space 3} 1.465171
{txt}{space 21}Qatar  {c |}{col 29}{res}{space 2} .3397878{col 41}{space 2} 1.730071{col 52}{space 1}    0.20{col 61}{space 3}0.844{col 69}{space 4}-2.505926{col 82}{space 3} 3.185502
{txt}{space 19}Romania  {c |}{col 29}{res}{space 2}-.0256765{col 41}{space 2} 1.333403{col 52}{space 1}   -0.02{col 61}{space 3}0.985{col 69}{space 4}-2.218929{col 82}{space 3} 2.167576
{txt}{space 8}Russian Federation  {c |}{col 29}{res}{space 2}-1.174535{col 41}{space 2} 1.419584{col 52}{space 1}   -0.83{col 61}{space 3}0.408{col 69}{space 4}-3.509544{col 82}{space 3} 1.160473
{txt}{space 20}Rwanda  {c |}{col 29}{res}{space 2} .8303133{col 41}{space 2} 1.331014{col 52}{space 1}    0.62{col 61}{space 3}0.533{col 69}{space 4}-1.359009{col 82}{space 3} 3.019636
{txt}{space 14}Saudi Arabia  {c |}{col 29}{res}{space 2}  .288824{col 41}{space 2} 1.369659{col 52}{space 1}    0.21{col 61}{space 3}0.833{col 69}{space 4}-1.964065{col 82}{space 3} 2.541713
{txt}{space 19}Senegal  {c |}{col 29}{res}{space 2} 1.348589{col 41}{space 2} 1.618582{col 52}{space 1}    0.83{col 61}{space 3}0.405{col 69}{space 4}-1.313741{col 82}{space 3}  4.01092
{txt}{space 5}Serbia and Montenegro  {c |}{col 29}{res}{space 2} 1.302792{col 41}{space 2} 1.295498{col 52}{space 1}    1.01{col 61}{space 3}0.315{col 69}{space 4}-.8281127{col 82}{space 3} 3.433697
{txt}{space 14}Sierra Leone  {c |}{col 29}{res}{space 2}  .632967{col 41}{space 2} 1.440483{col 52}{space 1}    0.44{col 61}{space 3}0.660{col 69}{space 4}-1.736416{col 82}{space 3}  3.00235
{txt}{space 18}Slovakia  {c |}{col 29}{res}{space 2} 1.245732{col 41}{space 2} 1.307191{col 52}{space 1}    0.95{col 61}{space 3}0.341{col 69}{space 4}-.9044054{col 82}{space 3}  3.39587
{txt}{space 18}Slovenia  {c |}{col 29}{res}{space 2} .6079994{col 41}{space 2} 1.300414{col 52}{space 1}    0.47{col 61}{space 3}0.640{col 69}{space 4}-1.530992{col 82}{space 3} 2.746991
{txt}{space 11}Solomon Islands  {c |}{col 29}{res}{space 2} 1.042862{col 41}{space 2} 1.521984{col 52}{space 1}    0.69{col 61}{space 3}0.493{col 69}{space 4}-1.460579{col 82}{space 3} 3.546303
{txt}{space 19}Somalia  {c |}{col 29}{res}{space 2} .6216272{col 41}{space 2} 1.302623{col 52}{space 1}    0.48{col 61}{space 3}0.633{col 69}{space 4}-1.520996{col 82}{space 3} 2.764251
{txt}{space 14}South Africa  {c |}{col 29}{res}{space 2} 1.771907{col 41}{space 2} 1.275203{col 52}{space 1}    1.39{col 61}{space 3}0.165{col 69}{space 4}-.3256151{col 82}{space 3}  3.86943
{txt}{space 21}Spain  {c |}{col 29}{res}{space 2} .1847705{col 41}{space 2} 1.313107{col 52}{space 1}    0.14{col 61}{space 3}0.888{col 69}{space 4}-1.975098{col 82}{space 3} 2.344639
{txt}{space 17}Sri Lanka  {c |}{col 29}{res}{space 2} 1.800822{col 41}{space 2} 1.428873{col 52}{space 1}    1.26{col 61}{space 3}0.208{col 69}{space 4}-.5494641{col 82}{space 3} 4.151108
{txt}{space 21}Sudan  {c |}{col 29}{res}{space 2} .3245489{col 41}{space 2} 1.410796{col 52}{space 1}    0.23{col 61}{space 3}0.818{col 69}{space 4}-1.996003{col 82}{space 3} 2.645101
{txt}{space 17}Swaziland  {c |}{col 29}{res}{space 2}-.6283393{col 41}{space 2} 1.327695{col 52}{space 1}   -0.47{col 61}{space 3}0.636{col 69}{space 4}-2.812202{col 82}{space 3} 1.555524
{txt}{space 20}Sweden  {c |}{col 29}{res}{space 2} 2.293252{col 41}{space 2} 1.316024{col 52}{space 1}    1.74{col 61}{space 3}0.081{col 69}{space 4} .1285847{col 82}{space 3}  4.45792
{txt}{space 15}Switzerland  {c |}{col 29}{res}{space 2} 4.785558{col 41}{space 2} 1.249179{col 52}{space 1}    3.83{col 61}{space 3}0.000{col 69}{space 4} 2.730842{col 82}{space 3} 6.840274
{txt}{space 21}Syria  {c |}{col 29}{res}{space 2}-3.153892{col 41}{space 2} 1.450434{col 52}{space 1}   -2.17{col 61}{space 3}0.030{col 69}{space 4}-5.539644{col 82}{space 3}-.7681402
{txt}{space 16}Tajikistan  {c |}{col 29}{res}{space 2} -.072719{col 41}{space 2} 1.233033{col 52}{space 1}   -0.06{col 61}{space 3}0.953{col 69}{space 4}-2.100878{col 82}{space 3}  1.95544
{txt}{space 18}Tanzania  {c |}{col 29}{res}{space 2} .9452427{col 41}{space 2} 1.381487{col 52}{space 1}    0.68{col 61}{space 3}0.494{col 69}{space 4}-1.327102{col 82}{space 3} 3.217587
{txt}{space 18}Thailand  {c |}{col 29}{res}{space 2}-1.434295{col 41}{space 2} 1.542252{col 52}{space 1}   -0.93{col 61}{space 3}0.352{col 69}{space 4}-3.971073{col 82}{space 3} 1.102483
{txt}{space 15}Timor-Leste  {c |}{col 29}{res}{space 2}-.4115826{col 41}{space 2} 1.359399{col 52}{space 1}   -0.30{col 61}{space 3}0.762{col 69}{space 4}-2.647594{col 82}{space 3} 1.824429
{txt}{space 22}Togo  {c |}{col 29}{res}{space 2} .9807411{col 41}{space 2} 1.423299{col 52}{space 1}    0.69{col 61}{space 3}0.491{col 69}{space 4}-1.360377{col 82}{space 3} 3.321859
{txt}{space 19}Tunisia  {c |}{col 29}{res}{space 2}-2.762693{col 41}{space 2}  1.34557{col 52}{space 1}   -2.05{col 61}{space 3}0.040{col 69}{space 4}-4.975958{col 82}{space 3}-.5494281
{txt}{space 20}Turkey  {c |}{col 29}{res}{space 2}-1.848112{col 41}{space 2} 1.396774{col 52}{space 1}   -1.32{col 61}{space 3}0.186{col 69}{space 4}-4.145601{col 82}{space 3} .4493762
{txt}{space 14}Turkmenistan  {c |}{col 29}{res}{space 2}-1.689659{col 41}{space 2} 1.452137{col 52}{space 1}   -1.16{col 61}{space 3}0.245{col 69}{space 4}-4.078212{col 82}{space 3} .6988945
{txt}{space 20}Uganda  {c |}{col 29}{res}{space 2} .7379423{col 41}{space 2} 1.345051{col 52}{space 1}    0.55{col 61}{space 3}0.583{col 69}{space 4} -1.47447{col 82}{space 3} 2.950355
{txt}{space 19}Ukraine  {c |}{col 29}{res}{space 2}-.7034363{col 41}{space 2} 1.428611{col 52}{space 1}   -0.49{col 61}{space 3}0.622{col 69}{space 4}-3.053292{col 82}{space 3} 1.646419
{txt}{space 6}United Arab Emirates  {c |}{col 29}{res}{space 2} .3417235{col 41}{space 2} 1.514206{col 52}{space 1}    0.23{col 61}{space 3}0.821{col 69}{space 4}-2.148924{col 82}{space 3} 2.832371
{txt}{space 12}United Kingdom  {c |}{col 29}{res}{space 2} 1.561822{col 41}{space 2} 1.492878{col 52}{space 1}    1.05{col 61}{space 3}0.295{col 69}{space 4}-.8937445{col 82}{space 3} 4.017388
{txt}{space 16}Uzbekistan  {c |}{col 29}{res}{space 2}-3.733136{col 41}{space 2} 1.400708{col 52}{space 1}   -2.67{col 61}{space 3}0.008{col 69}{space 4}-6.037095{col 82}{space 3}-1.429177
{txt}{space 18}Viet Nam  {c |}{col 29}{res}{space 2}-1.441323{col 41}{space 2} 1.442837{col 52}{space 1}   -1.00{col 61}{space 3}0.318{col 69}{space 4}-3.814578{col 82}{space 3} .9319322
{txt}{space 12}Western Sahara  {c |}{col 29}{res}{space 2} 1.606893{col 41}{space 2} 1.516895{col 52}{space 1}    1.06{col 61}{space 3}0.289{col 69}{space 4}-.8881768{col 82}{space 3} 4.101963
{txt}{space 21}Yemen  {c |}{col 29}{res}{space 2} 1.074766{col 41}{space 2} 1.349475{col 52}{space 1}    0.80{col 61}{space 3}0.426{col 69}{space 4}-1.144924{col 82}{space 3} 3.294455
{txt}{space 20}Zambia  {c |}{col 29}{res}{space 2} 1.303149{col 41}{space 2} 1.370597{col 52}{space 1}    0.95{col 61}{space 3}0.342{col 69}{space 4}-.9512829{col 82}{space 3} 3.557582
{txt}{space 18}Zimbabwe  {c |}{col 29}{res}{space 2} .8826653{col 41}{space 2} 1.309883{col 52}{space 1}    0.67{col 61}{space 3}0.500{col 69}{space 4}-1.271901{col 82}{space 3} 3.037231
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-11.13853{col 41}{space 2} 1.014004{col 52}{space 1}  -10.98{col 61}{space 3}0.000{col 69}{space 4}-12.80642{col 82}{space 3} -9.47064
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 85}Instrumented:{space 2}city_pop_share{p_end}
{p 0 15 85}Instruments:{space 3}ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900 ln_tropical_1100 ln_tropical_1200 ln_tropical_1300 ln_tropical_1400 ln_tropical_1500 ln_tropical_1600 ln_tropical_1700 ln_tropical_1750 ln_tropical_1800 ln_tropical_1850 ln_tropical_1900 ln_rugged_1100 ln_rugged_1200 ln_rugged_1300 ln_rugged_1400 ln_rugged_1500 ln_rugged_1600 ln_rugged_1700 ln_rugged_1750 ln_rugged_1800 ln_rugged_1850 ln_rugged_1900 ln_elevation_1100 ln_elevation_1200 ln_elevation_1300 ln_elevation_1400 ln_elevation_1500 ln_elevation_1600 ln_elevation_1700 ln_elevation_1750 ln_elevation_1800 ln_elevation_1850 ln_elevation_1900 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900{p_end}

{com}. 
. 
. ************************************************************
. *        Models with plausible exogenous IV                                *
. *  at distinct size of the exclusion restriction violation *
. *            (all CIs are one-tailed)                                      *
. ************************************************************
. 
. ********************************************************
. *  10% of the reduced-form estimated effect at 95% CI  *
. ********************************************************
. 
. **Column 1**
. plausexog uci lead_polity i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.9) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.05,0.05,0.05,0.05,0.05,0.05,0.05,0.05,0.05,0.05,0.05) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}1100.year{col 13}-.99229855{col 29}.67988501
1200.year{col 13}-.78204037{col 29}.45632526
1300.year{col 13}-.28008923{col 29}1.0170656
1400.year{col 13}-1.0513088{col 29}.41676692
1500.year{col 13}-.81219988{col 29}.33853993
1600.year{col 13}-1.107513{col 29}.4178281
1700.year{col 13}-.57587907{col 29}.88897429
1750.year{col 13}.40408203{col 29}2.087862
1800.year{col 13}1.2376501{col 29}3.1607527
1850.year{col 13}3.4176625{col 29}5.782845
1900.year{col 13}6.7668516{col 29}9.7844555
2.country{col 13}.9394367{col 29}1.9038997
3.country{col 13}-2.6649832{col 29}-1.6076721
4.country{col 13}-.0280024{col 29}.92320628
5.country{col 13}.94772029{col 29}1.9080223
6.country{col 13}3.8012405{col 29}4.6445991
7.country{col 13}-.80634554{col 29}1.1376899
8.country{col 13}2.4919479{col 29}3.4068148
9.country{col 13}-.51788043{col 29}.37634935
10.country{col 13}-2.0943481{col 29}1.0671261
11.country{col 13}1.0245165{col 29}2.0555154
12.country{col 13}-.31170499{col 29}.69330082
13.country{col 13}1.0505377{col 29}1.9790386
14.country{col 13}1.1911831{col 29}2.222182
15.country{col 13}1.0831204{col 29}1.965715
16.country{col 13}.27451646{col 29}1.3055154
17.country{col 13}.38673585{col 29}1.3397908
18.country{col 13}-2.5672937{col 29}-1.3516637
19.country{col 13}.15371849{col 29}1.1077302
20.country{col 13}.94118313{col 29}1.972182
21.country{col 13}.3578498{col 29}1.3888487
22.country{col 13}-.17698748{col 29}.19623503
23.country{col 13}-.30881687{col 29}.72218205
24.country{col 13}.41546489{col 29}1.3959091
25.country{col 13}.8578498{col 29}1.8888487
26.country{col 13}1.0673454{col 29}1.9077315
27.country{col 13}.69651705{col 29}1.194027
28.country{col 13}.56421361{col 29}2.2036371
29.country{col 13}.69118313{col 29}1.722182
30.country{col 13}-6.1833175{col 29}-3.0070822
31.country{col 13}.1078498{col 29}1.1388487
32.country{col 13}.1078498{col 29}1.1388487
33.country{col 13}.58893503{col 29}1.1104787
34.country{col 13}1.3341729{col 29}2.1374555
35.country{col 13}.94118313{col 29}1.972182
36.country{col 13}3.4130969{col 29}4.4129438
37.country{col 13}2.6734158{col 29}3.9539577
38.country{col 13}.19118313{col 29}1.222182
39.country{col 13}.1078498{col 29}1.1388487
40.country{col 13}1.2417231{col 29}2.320448
41.country{col 13}.59805692{col 29}1.5357447
42.country{col 13}1.4242432{col 29}2.6610387
43.country{col 13}.44118313{col 29}1.472182
44.country{col 13}.94118313{col 29}1.972182
45.country{col 13}.82771574{col 29}1.2637617
46.country{col 13}-.30881687{col 29}.72218205
47.country{col 13}1.8965293{col 29}2.0892879
48.country{col 13}1.5140003{col 29}2.2004669
49.country{col 13}-4.2769278{col 29}-1.7873702
50.country{col 13}-6.9282017{col 29}-3.7367243
51.country{col 13}-2.59134{col 29}1.3208798
52.country{col 13}-1.1281079{col 29}.52145998
53.country{col 13}-1.6046934{col 29}.75429274
54.country{col 13}-.05434732{col 29}1.5712539
55.country{col 13}.35496169{col 29}1.3599675
56.country{col 13}.27451646{col 29}1.3055154
57.country{col 13}.19043118{col 29}1.2166147
58.country{col 13}.19609118{col 29}1.0948055
59.country{col 13}2.9484407{col 29}3.34305
60.country{col 13}-.05881687{col 29}.97218205
61.country{col 13}-1.517658{col 29}-.9728627
62.country{col 13}-1.1916077{col 29}-.98400921
63.country{col 13}-.63208583{col 29}-.05364053
64.country{col 13}-.39305544{col 29}-.31822495
65.country{col 13}.75517401{col 29}1.7313677
66.country{col 13}2.5245165{col 29}3.5555154
67.country{col 13}.12764303{col 29}1.082974
68.country{col 13}-3.981784{col 29}-1.6443257
69.country{col 13}-5.3163662{col 29}-2.436893
70.country{col 13}.89209323{col 29}1.8101134
71.country{col 13}.88879487{col 29}1.8895941
72.country{col 13}.52216859{col 29}1.3003186
73.country{col 13}.11905119{col 29}.26850336
74.country{col 13}.02451646{col 29}1.0555154
75.country{col 13}.51664317{col 29}1.0726598
76.country{col 13}1.4411831{col 29}2.472182
77.country{col 13}-8.4885327{col 29}-4.1155853
78.country{col 13}.83764834{col 29}1.8144147
79.country{col 13}-.33917119{col 29}.12258592
80.country{col 13}1.0245165{col 29}2.0555154
81.country{col 13}2.9040652{col 29}3.8531872
82.country{col 13}-1.555084{col 29}1.3634704
83.country{col 13}3.6699465{col 29}4.5932004
84.country{col 13}-.93763737{col 29}-.39131826
85.country{col 13}-.18372485{col 29}-.10723705
86.country{col 13}4.2400391{col 29}4.7096055
87.country{col 13}.68513665{col 29}1.2925831
88.country{col 13}.92751539{col 29}1.7271844
89.country{col 13}.8578498{col 29}1.8888487
90.country{col 13}1.9705585{col 29}2.5299984
91.country{col 13}.31787603{col 29}.67415166
92.country{col 13}-2.1514959{col 29}-.19905367
93.country{col 13}-.30881687{col 29}.72218205
94.country{col 13}.87474259{col 29}1.4274104
95.country{col 13}-.06048269{col 29}.52602974
96.country{col 13}.19118313{col 29}1.222182
97.country{col 13}-1.2013418{col 29}-1.0415659
98.country{col 13}1.1911831{col 29}2.222182
99.country{col 13}2.1074436{col 29}2.7872895
100.country{col 13}.52451646{col 29}1.5555154
101.country{col 13}2.0312237{col 29}2.9181949
102.country{col 13}1.4656177{col 29}2.4716253
103.country{col 13}.52451646{col 29}1.5555154
104.country{col 13}.52451646{col 29}1.5555154
105.country{col 13}1.8887284{col 29}2.6923694
106.country{col 13}-1.6719693{col 29}.55934795
107.country{col 13}1.6921977{col 29}2.0562227
108.country{col 13}-.13680679{col 29}.81604736
109.country{col 13}-.2803309{col 29}.67279077
110.country{col 13}2.6745144{col 29}3.0032209
111.country{col 13}5.470809{col 29}5.8664787
112.country{col 13}-7.7535468{col 29}-3.803335
113.country{col 13}.51704012{col 29}1.4911331
114.country{col 13}.11035377{col 29}1.0690755
115.country{col 13}-4.3189513{col 29}-1.6260567
116.country{col 13}-.30881687{col 29}.72218205
117.country{col 13}.3578498{col 29}1.3888487
118.country{col 13}-5.0073053{col 29}-2.7831227
119.country{col 13}-4.579598{col 29}-1.4141979
120.country{col 13}-5.5564967{col 29}-3.2942774
121.country{col 13}.16815907{col 29}1.1250589
122.country{col 13}-.04463422{col 29}.39314072
123.country{col 13}-.1421502{col 29}.88884871
124.country{col 13}-1.7368891{col 29}1.8526897
125.country{col 13}-7.474626{col 29}-4.1923204
126.country{col 13}-1.1170248{col 29}-.94315136
127.country{col 13}-.30881687{col 29}.72218205
128.country{col 13}.21438405{col 29}1.1016324
129.country{col 13}.42930179{col 29}1.4645912
130.country{col 13}.1982454{col 29}1.1583506
city_pop_share{col 13}50.137642{col 29}102.36082
_cons{col 13}-12.138807{col 29}-10.916469
{res}{hline 78}
{txt}
{com}. 
. **Column 2**
. plausexog uci lead_polity `ln_oworld_flexible' i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.9) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.046,0.046,0.046,0.046,0.046,0.046,0.046,0.046,0.046,0.046,0.046) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}ln_oworld_1100{col 13}-.16847152{col 29}.37052536
ln_oworld_1200{col 13}-.12358647{col 29}.1305914
ln_oworld_1300{col 13}-.12648989{col 29}.04410808
ln_oworld_1400{col 13}-.21769409{col 29}-.00809526
ln_oworld_1500{col 13}-.17255849{col 29}.00144872
ln_oworld_1600{col 13}-.30882428{col 29}-.0113672
ln_oworld_1700{col 13}-.19699437{col 29}.05590717
ln_oworld_1750{col 13}-.07833635{col 29}.2453037
ln_oworld_1800{col 13}.01504861{col 29}.43161077
ln_oworld_1850{col 13}.18781237{col 29}.74035324
ln_oworld_1900{col 13}.23619342{col 29}.96245501
1100.year{col 13}-3.1001732{col 29}1.4181374
1200.year{col 13}-1.1747099{col 29}.8559236
1300.year{col 13}-.18995011{col 29}1.278698
1400.year{col 13}-.18579705{col 29}1.2770701
1500.year{col 13}-.17806117{col 29}.98421095
1600.year{col 13}.07655687{col 29}1.621725
1700.year{col 13}-.06024549{col 29}1.6093082
1750.year{col 13}-.22334944{col 29}1.7424099
1800.year{col 13}-.54010018{col 29}1.9691872
1850.year{col 13}-.38783603{col 29}3.1219954
1900.year{col 13}2.41762{col 29}7.4751562
2.country{col 13}.52833821{col 29}1.4801479
3.country{col 13}-2.3138867{col 29}-1.4222199
4.country{col 13}-.80798445{col 29}.43708682
5.country{col 13}.72907916{col 29}1.5784346
6.country{col 13}3.698772{col 29}4.515313
7.country{col 13}-.09249404{col 29}1.6166066
8.country{col 13}1.7996676{col 29}2.9994596
9.country{col 13}-1.1944252{col 29}-.05357606
10.country{col 13}-.8234752{col 29}2.0953646
11.country{col 13}.25548202{col 29}1.5925889
12.country{col 13}-.27129447{col 29}.5619461
13.country{col 13}.54249453{col 29}1.5482423
14.country{col 13}.63968177{col 29}1.7781269
15.country{col 13}.48075855{col 29}1.5385479
16.country{col 13}-.3920591{col 29}.84963211
17.country{col 13}.07032603{col 29}.95148425
18.country{col 13}-2.2508803{col 29}-1.1764152
19.country{col 13}-.79755082{col 29}.62269176
20.country{col 13}-.10806546{col 29}1.5006934
21.country{col 13}-.45615469{col 29}.92363025
22.country{col 13}-.8577808{col 29}.09550212
23.country{col 13}-1.0923998{col 29}.25846637
24.country{col 13}-.65772914{col 29}.87936461
25.country{col 13}-.10425138{col 29}1.4187332
26.country{col 13}.56274463{col 29}1.5076004
27.country{col 13}.61318608{col 29}1.122382
28.country{col 13}1.1391627{col 29}2.5593915
29.country{col 13}.84301947{col 29}1.832869
30.country{col 13}-4.7150804{col 29}-1.3505298
31.country{col 13}-.26431041{col 29}.72605218
32.country{col 13}.00642581{col 29}.8371961
33.country{col 13}.29643937{col 29}.89615746
34.country{col 13}.66400331{col 29}1.7322294
35.country{col 13}1.0930195{col 29}2.082869
36.country{col 13}2.8443532{col 29}3.9768495
37.country{col 13}2.8694022{col 29}3.9080982
38.country{col 13}-.6337328{col 29}.7564708
39.country{col 13}-.14599485{col 29}.76086123
40.country{col 13}1.3557796{col 29}2.2496889
41.country{col 13}-.26407393{col 29}1.1118955
42.country{col 13}1.7950749{col 29}2.8077621
43.country{col 13}-.35817512{col 29}1.0076629
44.country{col 13}.54029616{col 29}1.5529616
45.country{col 13}.65138318{col 29}1.1830279
46.country{col 13}-.15698053{col 29}.83286895
47.country{col 13}1.2195539{col 29}1.9951646
48.country{col 13}.78753106{col 29}1.8996893
49.country{col 13}-3.234286{col 29}-.88694375
50.country{col 13}-5.6391926{col 29}-2.7089034
51.country{col 13}-.99624113{col 29}2.6215889
52.country{col 13}-.44337626{col 29}1.1474598
53.country{col 13}-.79391992{col 29}1.1982161
54.country{col 13}.43919789{col 29}1.7752816
55.country{col 13}.30299051{col 29}1.1089554
56.country{col 13}-.31756674{col 29}.8567256
57.country{col 13}-.45685275{col 29}.7168118
58.country{col 13}.45365667{col 29}1.1982141
59.country{col 13}2.9297489{col 29}3.3011585
60.country{col 13}.09301947{col 29}1.082869
61.country{col 13}-1.2753437{col 29}-.71466033
62.country{col 13}-1.4616653{col 29}-.99665778
63.country{col 13}-.65054361{col 29}-.11615288
64.country{col 13}-.37015756{col 29}.0119409
65.country{col 13}.51222747{col 29}1.3893511
66.country{col 13}1.9050353{col 29}3.1038932
67.country{col 13}-.28430041{col 29}.66147513
68.country{col 13}-3.1374111{col 29}-1.1087403
69.country{col 13}-4.1125458{col 29}-1.3755015
70.country{col 13}.14771407{col 29}1.3415522
71.country{col 13}.30455142{col 29}1.4095393
72.country{col 13}.19904941{col 29}.98637392
73.country{col 13}-.2785797{col 29}.25521352
74.country{col 13}.03962793{col 29}.86214603
75.country{col 13}.20516147{col 29}.82974957
76.country{col 13}1.4395858{col 29}2.2585692
77.country{col 13}-6.7497292{col 29}-2.7712075
78.country{col 13}-.1017234{col 29}1.3063512
79.country{col 13}-.5081829{col 29}.00557578
80.country{col 13}.68359845{col 29}1.6504985
81.country{col 13}2.4726454{col 29}3.4421864
82.country{col 13}-.36688128{col 29}2.3429735
83.country{col 13}3.8718756{col 29}4.6264067
84.country{col 13}-.67218774{col 29}-.04511663
85.country{col 13}-.84479591{col 29}-.11334042
86.country{col 13}4.1625788{col 29}4.5964205
87.country{col 13}.83165572{col 29}1.7429634
88.country{col 13}.45342041{col 29}1.3431494
89.country{col 13}.30075386{col 29}1.4440999
90.country{col 13}1.3982251{col 29}2.2923521
91.country{col 13}-.20179017{col 29}.57521754
92.country{col 13}-1.4454417{col 29}.25551786
93.country{col 13}-.15698053{col 29}.83286895
94.country{col 13}.31992273{col 29}1.1822095
95.country{col 13}-.96184593{col 29}.29435699
96.country{col 13}.05537464{col 29}.89873307
97.country{col 13}-1.1582763{col 29}-.12021142
98.country{col 13}.75301929{col 29}1.7955442
99.country{col 13}1.6238527{col 29}2.4732841
100.country{col 13}-.11978947{col 29}1.1015564
101.country{col 13}1.5556671{col 29}2.5084382
102.country{col 13}1.0429132{col 29}2.034878
103.country{col 13}.55208271{col 29}1.3789519
104.country{col 13}.23316736{col 29}1.1648088
105.country{col 13}1.2988438{col 29}2.3041463
106.country{col 13}-.85681029{col 29}1.0708647
107.country{col 13}1.364246{col 29}1.9156944
108.country{col 13}-1.0988625{col 29}.38334497
109.country{col 13}-.53794939{col 29}.31226312
110.country{col 13}2.3061571{col 29}2.9009222
111.country{col 13}5.2988571{col 29}5.731089
112.country{col 13}-6.135333{col 29}-2.4633467
113.country{col 13}.06111561{col 29}1.0644235
114.country{col 13}-.67824384{col 29}.58053504
115.country{col 13}-3.3556921{col 29}-1.0142366
116.country{col 13}-.71047905{col 29}.30279722
117.country{col 13}-.30612273{col 29}.93318235
118.country{col 13}-4.1185329{col 29}-2.0730984
119.country{col 13}-3.4162062{col 29}-.67519526
120.country{col 13}-4.4671234{col 29}-1.8767286
121.country{col 13}-.62263623{col 29}.65424834
122.country{col 13}-.69814093{col 29}.23502583
123.country{col 13}.00968613{col 29}.99953562
124.country{col 13}-.3783183{col 29}2.7893173
125.country{col 13}-6.1443818{col 29}-3.1248152
126.country{col 13}-1.4861544{col 29}-.94845704
127.country{col 13}-.15698053{col 29}.83286895
128.country{col 13}.37420505{col 29}1.3172725
129.country{col 13}-.40049912{col 29}.93642124
130.country{col 13}-.21641578{col 29}.73455968
city_pop_share{col 13}29.986822{col 29}80.12981
_cons{col 13}-11.713593{col 29}-10.601194
{res}{hline 78}
{txt}
{com}. 
. **Column 3**
. plausexog uci lead_polity `ln_oworld_flexible' `ln_tropical_flexible' `ln_rugged_flexible' `ln_elevation_flexible' i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.9) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.024,0.024,0.024,0.024,0.024,0.024,0.024,0.024,0.024,0.024,0.024) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900 ln_tropical_1100 ln_tropical_1200 ln_tropical_1300 ln_tropical_1400 ln_tropical_1500 ln_tropical_1600 ln_tropical_1700 ln_tropical_1750 ln_tropical_1800 ln_tropical_1850 ln_tropical_1900 ln_rugged_1100 ln_rugged_1200 ln_rugged_1300 ln_rugged_1400 ln_rugged_1500 ln_rugged_1600 ln_rugged_1700 ln_rugged_1750 ln_rugged_1800 ln_rugged_1850 ln_rugged_1900 ln_elevation_1100 ln_elevation_1200 ln_elevation_1300 ln_elevation_1400 ln_elevation_1500 ln_elevation_1600 ln_elevation_1700 ln_elevation_1750 ln_elevation_1800 ln_elevation_1850 ln_elevation_1900 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}ln_oworld_1100{col 13}-.11754041{col 29}.32734101
ln_oworld_1200{col 13}-.08729493{col 29}.1302406
ln_oworld_1300{col 13}-.07053137{col 29}.09285268
ln_oworld_1400{col 13}-.17547188{col 29}.02092794
ln_oworld_1500{col 13}-.12467519{col 29}.02874769
ln_oworld_1600{col 13}-.19896111{col 29}.00936533
ln_oworld_1700{col 13}-.13925044{col 29}.14505048
ln_oworld_1750{col 13}.09002148{col 29}.4837864
ln_oworld_1800{col 13}.31065026{col 29}.81042147
ln_oworld_1850{col 13}.62619263{col 29}1.214546
ln_oworld_1900{col 13}.32946349{col 29}1.351201
ln_tropical_1100{col 13}-.06126727{col 29}.05541606
ln_tropical_1200{col 13}-.06100718{col 29}.04611289
ln_tropical_1300{col 13}-.10471912{col 29}.03215955
ln_tropical_1400{col 13}-.05324059{col 29}.10725617
ln_tropical_1500{col 13}-.05973397{col 29}.06055341
ln_tropical_1600{col 13}-.13717027{col 29}.07785308
ln_tropical_1700{col 13}-.10577177{col 29}.0685048
ln_tropical_1750{col 13}-.30829218{col 29}-.06505333
ln_tropical_1800{col 13}-.47033627{col 29}-.15760795
ln_tropical_1850{col 13}-.58187503{col 29}-.15679191
ln_tropical_1900{col 13}-.39729228{col 29}.27392488
ln_rugged_1100{col 13}-.24452372{col 29}1.1214539
ln_rugged_1200{col 13}-.16254743{col 29}.52570525
ln_rugged_1300{col 13}-.10456496{col 29}.5913543
ln_rugged_1400{col 13}-.16507241{col 29}.87889832
ln_rugged_1500{col 13}-.19461113{col 29}.57073897
ln_rugged_1600{col 13}-.55643773{col 29}.55480883
ln_rugged_1700{col 13}-.15911203{col 29}1.0364555
ln_rugged_1750{col 13}.08538561{col 29}1.5750944
ln_rugged_1800{col 13}.73419375{col 29}2.6086753
ln_rugged_1850{col 13}1.7838612{col 29}4.2067938
ln_rugged_1900{col 13}.12293564{col 29}2.9716123
ln_elevation_1100{col 13}-.6787794{col 29}.12237501
ln_elevation_1200{col 13}-.39020739{col 29}.10766044
ln_elevation_1300{col 13}-.40896803{col 29}.11081679
ln_elevation_1400{col 13}-.37116907{col 29}.25370456
ln_elevation_1500{col 13}-.5336629{col 29}.16504243
ln_elevation_1600{col 13}-.40490524{col 29}.59635053
ln_elevation_1700{col 13}-.70620088{col 29}.2788968
ln_elevation_1750{col 13}-1.1707622{col 29}-.03448379
ln_elevation_1800{col 13}-1.7179318{col 29}-.36964267
ln_elevation_1850{col 13}-4.2578754{col 29}-1.6830284
ln_elevation_1900{col 13}-2.776575{col 29}.12370656
1100.year{col 13}-1.0758237{col 29}2.983558
1200.year{col 13}-.57906905{col 29}1.9390516
1300.year{col 13}-.56368163{col 29}2.9772825
1400.year{col 13}-1.3125501{col 29}2.699069
1500.year{col 13}-.86296201{col 29}3.5671563
1600.year{col 13}-2.7588466{col 29}2.8356208
1700.year{col 13}-1.1443802{col 29}4.7199651
1750.year{col 13}.57802841{col 29}7.205487
1800.year{col 13}2.1196072{col 29}10.264201
1850.year{col 13}10.049569{col 29}25.937541
1900.year{col 13}3.8357362{col 29}21.032673
2.country{col 13}-.82376323{col 29}.71677392
3.country{col 13}-1.6883242{col 29}-.78240089
4.country{col 13}-.42144816{col 29}1.5415353
5.country{col 13}.48506497{col 29}1.5895413
6.country{col 13}4.7637667{col 29}6.9099662
7.country{col 13}-.65730949{col 29}1.6520884
8.country{col 13}.51102713{col 29}3.6917117
9.country{col 13}-1.9940513{col 29}.85629113
10.country{col 13}-.18141293{col 29}2.9157289
11.country{col 13}.61732115{col 29}3.5874294
12.country{col 13}-.51183187{col 29}.29306101
13.country{col 13}-.63744774{col 29}.94621802
14.country{col 13}.9260361{col 29}3.8270156
15.country{col 13}-.76482719{col 29}1.0266777
16.country{col 13}-.12723661{col 29}2.5018342
17.country{col 13}.43503511{col 29}1.8137702
18.country{col 13}-2.2214152{col 29}-.45473351
19.country{col 13}-.52237871{col 29}1.7909141
20.country{col 13}.55318999{col 29}3.4549311
21.country{col 13}-.19213436{col 29}2.1647014
22.country{col 13}-.51101629{col 29}.48272131
23.country{col 13}-.40052284{col 29}2.5298719
24.country{col 13}-.25166752{col 29}2.2545277
25.country{col 13}.03026273{col 29}2.8506515
26.country{col 13}-.81456339{col 29}1.0500493
27.country{col 13}.27058619{col 29}1.06458
28.country{col 13}.8390963{col 29}2.488146
29.country{col 13}.36233866{col 29}1.7241604
30.country{col 13}-3.8290623{col 29}.12959824
31.country{col 13}-.04062539{col 29}1.9520855
32.country{col 13}-.69245196{col 29}.56690161
33.country{col 13}-.67670984{col 29}1.9127472
34.country{col 13}.89030754{col 29}2.3983402
35.country{col 13}.82362259{col 29}2.8299723
36.country{col 13}1.4908013{col 29}4.4302243
37.country{col 13}2.395149{col 29}3.3829038
38.country{col 13}-.23296815{col 29}2.50588
39.country{col 13}-1.766125{col 29}1.1673933
40.country{col 13}1.1112351{col 29}2.0469017
41.country{col 13}-.32769488{col 29}2.3964319
42.country{col 13}.71686919{col 29}2.1942692
43.country{col 13}-.43405092{col 29}1.6883181
44.country{col 13}-1.0085873{col 29}1.7997452
45.country{col 13}-.01419289{col 29}1.4573237
46.country{col 13}-.20914573{col 29}1.1640902
47.country{col 13}1.3204221{col 29}2.7759653
48.country{col 13}.62241385{col 29}2.4730528
49.country{col 13}-3.166097{col 29}-.03433362
50.country{col 13}-5.1733785{col 29}-1.831203
51.country{col 13}-.72638488{col 29}3.3849583
52.country{col 13}-.92018444{col 29}1.019932
53.country{col 13}-1.4533667{col 29}1.0487372
54.country{col 13}-.29845576{col 29}1.3837643
55.country{col 13}.16348977{col 29}1.6193611
56.country{col 13}-.98782985{col 29}1.4993071
57.country{col 13}-.0804253{col 29}2.0310151
58.country{col 13}-.26171763{col 29}.74808422
59.country{col 13}1.5221225{col 29}2.6644864
60.country{col 13}.0494755{col 29}2.3705412
61.country{col 13}-1.458588{col 29}-.46358905
62.country{col 13}-1.872294{col 29}-.68461107
63.country{col 13}-1.0646345{col 29}.70717641
64.country{col 13}-1.0396058{col 29}-.24474575
65.country{col 13}-.19485124{col 29}.81370288
66.country{col 13}2.0067752{col 29}4.5750637
67.country{col 13}-.75389139{col 29}1.5220237
68.country{col 13}-2.3317848{col 29}-.46838237
69.country{col 13}-4.2478138{col 29}-.62263111
70.country{col 13}-.02691633{col 29}1.8693219
71.country{col 13}.49053288{col 29}2.2933503
72.country{col 13}-.05041219{col 29}1.7170761
73.country{col 13}.53801989{col 29}2.6687207
74.country{col 13}.3768736{col 29}3.15564
75.country{col 13}-1.2422431{col 29}.56772177
76.country{col 13}1.7811248{col 29}3.2130908
77.country{col 13}-6.8022684{col 29}-1.5506914
78.country{col 13}-.28187416{col 29}2.076506
79.country{col 13}-.83070527{col 29}.50284929
80.country{col 13}.48585278{col 29}2.2258366
81.country{col 13}1.6239108{col 29}2.7728705
82.country{col 13}.52401607{col 29}3.1429946
83.country{col 13}2.7235592{col 29}3.7800556
84.country{col 13}.56765845{col 29}2.2498033
85.country{col 13}-.38093261{col 29}1.4395544
86.country{col 13}3.2747381{col 29}4.2209224
87.country{col 13}.77385203{col 29}2.0649003
88.country{col 13}-.31198525{col 29}1.0684652
89.country{col 13}.20209117{col 29}1.9206869
90.country{col 13}.59994614{col 29}2.2411456
91.country{col 13}-.90922368{col 29}.95788224
92.country{col 13}-1.7082641{col 29}.17529409
93.country{col 13}-1.0891273{col 29}1.7083673
94.country{col 13}-.79539048{col 29}.68021312
95.country{col 13}-2.114331{col 29}-.31348845
96.country{col 13}.25088239{col 29}1.3716028
97.country{col 13}-.32052007{col 29}.81498923
98.country{col 13}-.06551781{col 29}2.7800097
99.country{col 13}.56096429{col 29}1.9775173
100.country{col 13}-.5211365{col 29}1.8238088
101.country{col 13}.35331904{col 29}2.0700634
102.country{col 13}-.25742061{col 29}1.404365
103.country{col 13}.08376556{col 29}1.9294103
104.country{col 13}-.34583776{col 29}1.6238325
105.country{col 13}1.0586916{col 29}2.369297
106.country{col 13}-.98168627{col 29}1.3371282
107.country{col 13}1.0079303{col 29}2.6399655
108.country{col 13}-.81993262{col 29}1.5290888
109.country{col 13}-1.3651335{col 29}.03584648
110.country{col 13}1.6037398{col 29}2.9095374
111.country{col 13}4.3801685{col 29}5.1264035
112.country{col 13}-5.3669934{col 29}-.94218245
113.country{col 13}-.60586926{col 29}.49836259
114.country{col 13}-.17858287{col 29}1.9205884
115.country{col 13}-3.1043765{col 29}.27987119
116.country{col 13}-1.1984835{col 29}.39788545
117.country{col 13}-.27682416{col 29}2.2724562
118.country{col 13}-3.8709521{col 29}-1.6953883
119.country{col 13}-3.6536885{col 29}-.05313431
120.country{col 13}-3.0749135{col 29}-.34273696
121.country{col 13}-.2208071{col 29}1.6772325
122.country{col 13}-1.6945828{col 29}.21131169
123.country{col 13}-.65479134{col 29}1.2800147
124.country{col 13}-.20743905{col 29}3.2886416
125.country{col 13}-5.4023234{col 29}-1.9611115
126.country{col 13}-2.1040542{col 29}-.74369758
127.country{col 13}.39002248{col 29}2.7536545
128.country{col 13}.51770561{col 29}1.56394
129.country{col 13}.10589551{col 29}2.3853764
130.country{col 13}.00650657{col 29}1.6451402
city_pop_share{col 13}6.0897402{col 29}74.103505
_cons{col 13}-12.007647{col 29}-10.242971
{res}{hline 78}
{txt}
{com}. 
. 
. ********************************************************
. *  10% of the reduced-form estimated effect at 90% CI  *
. ********************************************************
. 
. **Column 1**
. plausexog uci lead_polity i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.8) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.05,0.05,0.05,0.05,0.05,0.05,0.05,0.05,0.05,0.05,0.05) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}1100.year{col 13}-.82734976{col 29}.51697131
1200.year{col 13}-.66548714{col 29}.34081496
1300.year{col 13}-.16162775{col 29}.89454021
1400.year{col 13}-.90965901{col 29}.27601179
1500.year{col 13}-.70557155{col 29}.23283264
1600.year{col 13}-.95950995{col 29}.27090316
1700.year{col 13}-.43487129{col 29}.74800205
1750.year{col 13}.5687742{col 29}1.9224695
1800.year{col 13}1.4283538{col 29}2.9703875
1850.year{col 13}3.6571909{col 29}5.5418229
1900.year{col 13}7.0756558{col 29}9.4764424
2.country{col 13}1.0262168{col 29}1.8135183
3.country{col 13}-2.5745856{col 29}-1.6934133
4.country{col 13}.05014094{col 29}.84403471
5.country{col 13}1.0341085{col 29}1.8171002
6.country{col 13}3.8574087{col 29}4.5913242
7.country{col 13}-.63477956{col 29}.97496146
8.country{col 13}2.5672884{col 29}3.3273828
9.country{col 13}-.45425069{col 29}.31245964
10.country{col 13}-1.8010332{col 29}.7898681
11.country{col 13}1.1105806{col 29}1.9647773
12.country{col 13}-.2256409{col 29}.60256271
13.country{col 13}1.1273003{col 29}1.9012659
14.country{col 13}1.2772472{col 29}2.1314439
15.country{col 13}1.1511479{col 29}1.8974096
16.country{col 13}.36058055{col 29}1.2147773
17.country{col 13}.47255847{col 29}1.2487813
18.country{col 13}-2.4518883{col 29}-1.461209
19.country{col 13}.23937001{col 29}1.0165274
20.country{col 13}1.0272472{col 29}1.8814439
21.country{col 13}.44391389{col 29}1.2981106
22.country{col 13}-.17553241{col 29}.19477402
23.country{col 13}-.22275278{col 29}.63144394
24.country{col 13}.50224499{col 29}1.3055277
25.country{col 13}.94391389{col 29}1.7981106
26.country{col 13}1.1365278{col 29}1.8376388
27.country{col 13}.72456285{col 29}1.166667
28.country{col 13}.7048136{col 29}2.0702796
29.country{col 13}.77724722{col 29}1.6314439
30.country{col 13}-5.8796313{col 29}-3.2922837
31.country{col 13}.19391389{col 29}1.0481106
32.country{col 13}.19391389{col 29}1.0481106
33.country{col 13}.62307774{col 29}1.0761965
34.country{col 13}1.3942484{col 29}2.0771346
35.country{col 13}1.0272472{col 29}1.8814439
36.country{col 13}3.4916812{col 29}4.3308043
37.country{col 13}2.7726206{col 29}3.8598631
38.country{col 13}.27724722{col 29}1.1314439
39.country{col 13}.19391389{col 29}1.0481106
40.country{col 13}1.3214549{col 29}2.2448232
41.country{col 13}.67550466{col 29}1.4540909
42.country{col 13}1.5286928{col 29}2.5619695
43.country{col 13}.52724722{col 29}1.3814439
44.country{col 13}1.0272472{col 29}1.8814439
45.country{col 13}.84875411{col 29}1.2426374
46.country{col 13}-.22275278{col 29}.63144394
47.country{col 13}1.9050241{col 29}2.0807584
48.country{col 13}1.5682502{col 29}2.1432707
49.country{col 13}-4.0392201{col 29}-2.0106092
50.country{col 13}-6.6257657{col 29}-4.0206945
51.country{col 13}-2.2203675{col 29}.97255781
52.country{col 13}-.97639595{col 29}.37791491
53.country{col 13}-1.3961033{col 29}.5564473
54.country{col 13}.08265798{col 29}1.4413059
55.country{col 13}.44102578{col 29}1.2692294
56.country{col 13}.36058055{col 29}1.2147773
57.country{col 13}.27794489{col 29}1.126659
58.country{col 13}.26619743{col 29}1.0283104
59.country{col 13}2.9704653{col 29}3.3215639
60.country{col 13}.02724722{col 29}.88144394
61.country{col 13}-1.4711978{col 29}-1.0187195
62.country{col 13}-1.1821401{col 29}-.99343829
63.country{col 13}-.59661541{col 29}-.0876751
64.country{col 13}-.38647913{col 29}-.32446251
65.country{col 13}.84195411{col 29}1.6409863
66.country{col 13}2.6105806{col 29}3.4647773
67.country{col 13}.21392393{col 29}.99196453
68.country{col 13}-3.7749125{col 29}-1.8405411
69.country{col 13}-5.0451807{col 29}-2.6921815
70.country{col 13}.97167601{col 29}1.7281849
71.country{col 13}.97617504{col 29}1.7996384
72.country{col 13}.58488459{col 29}1.2341965
73.country{col 13}.12224506{col 29}.26532248
74.country{col 13}.11058055{col 29}.96477727
75.country{col 13}.55712652{col 29}1.0320111
76.country{col 13}1.5272472{col 29}2.3814439
77.country{col 13}-8.0787135{col 29}-4.5020259
78.country{col 13}.92442844{col 29}1.7240333
79.country{col 13}-.30337467{col 29}.08863332
80.country{col 13}1.1105806{col 29}1.9647773
81.country{col 13}2.9872294{col 29}3.7652914
82.country{col 13}-1.2813596{col 29}1.1054441
83.country{col 13}3.748611{col 29}4.5190958
84.country{col 13}-.89101434{col 29}-.43733578
85.country{col 13}-.18159609{col 29}-.10937451
86.country{col 13}4.274959{col 29}4.6745429
87.country{col 13}.73208987{col 29}1.2430799
88.country{col 13}.99825016{col 29}1.6535142
89.country{col 13}.94391389{col 29}1.7981106
90.country{col 13}2.0130788{col 29}2.4851689
91.country{col 13}.32234523{col 29}.6696642
92.country{col 13}-1.9796581{col 29}-.36203991
93.country{col 13}-.22275278{col 29}.63144394
94.country{col 13}.90397732{col 29}1.3980563
95.country{col 13}-.04279832{col 29}.50827311
96.country{col 13}.27724722{col 29}1.1314439
97.country{col 13}-1.1969908{col 29}-1.0458992
98.country{col 13}1.2772472{col 29}2.1314439
99.country{col 13}2.1543881{col 29}2.7401532
100.country{col 13}.61058055{col 29}1.4647773
101.country{col 13}2.1049721{col 29}2.8434761
102.country{col 13}1.5529979{col 29}2.3816696
103.country{col 13}.61058055{col 29}1.4647773
104.country{col 13}.61058055{col 29}1.4647773
105.country{col 13}1.9474053{col 29}2.6334528
106.country{col 13}-1.4673552{col 29}.36574849
107.country{col 13}1.7166733{col 29}2.0304178
108.country{col 13}-.05795859{col 29}.73291703
109.country{col 13}-.19450829{col 29}.58178126
110.country{col 13}2.6828746{col 29}2.9948265
111.country{col 13}5.4929444{col 29}5.8442529
112.country{col 13}-7.3800802{col 29}-4.1539989
113.country{col 13}.60290542{col 29}1.4001725
114.country{col 13}.18756745{col 29}.99152514
115.country{col 13}-4.0613188{col 29}-1.8680077
116.country{col 13}-.22275278{col 29}.63144394
117.country{col 13}.44391389{col 29}1.2981106
118.country{col 13}-4.8015689{col 29}-2.9777841
119.country{col 13}-4.2884281{col 29}-1.6896939
120.country{col 13}-5.3399656{col 29}-3.498035
121.country{col 13}.25381059{col 29}1.0338561
122.country{col 13}-.03348935{col 29}.38195033
123.country{col 13}-.05608611{col 29}.79811061
124.country{col 13}-1.406914{col 29}1.5404776
125.country{col 13}-7.1608332{col 29}-4.4870133
126.country{col 13}-1.1112425{col 29}-.94891019
127.country{col 13}-.22275278{col 29}.63144394
128.country{col 13}.2871742{col 29}1.0248891
129.country{col 13}.51746085{col 29}1.3748249
130.country{col 13}.28463366{col 29}1.0673628
city_pop_share{col 13}54.807985{col 29}97.386775
_cons{col 13}-12.010829{col 29}-11.034483
{res}{hline 78}
{txt}
{com}. 
. **Column 2**
. plausexog uci lead_polity `ln_oworld_flexible' i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.8) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.046,0.046,0.046,0.046,0.046,0.046,0.046,0.046,0.046,0.046,0.046) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}ln_oworld_1100{col 13}-.11173706{col 29}.31447208
ln_oworld_1200{col 13}-.09867472{col 29}.10591474
ln_oworld_1300{col 13}-.11090368{col 29}.02867402
ln_oworld_1400{col 13}-.19811615{col 29}-.02552952
ln_oworld_1500{col 13}-.15667804{col 29}-.01275931
ln_oworld_1600{col 13}-.27962706{col 29}-.0372335
ln_oworld_1700{col 13}-.17325253{col 29}.0332836
ln_oworld_1750{col 13}-.04708973{col 29}.21455549
ln_oworld_1800{col 13}.0562652{col 29}.39065663
ln_oworld_1850{col 13}.2441259{col 29}.68415726
ln_oworld_1900{col 13}.3126793{col 29}.88625401
1100.year{col 13}-2.6071881{col 29}.91934463
1200.year{col 13}-.95550088{col 29}.63485275
1300.year{col 13}-.03350588{col 29}1.1210784
1400.year{col 13}-.03127893{col 29}1.1200684
1500.year{col 13}-.05444577{col 29}.86047135
1600.year{col 13}.22185488{col 29}1.4586534
1700.year{col 13}.10663419{col 29}1.4298051
1750.year{col 13}-.02260622{col 29}1.5321852
1800.year{col 13}-.27926563{col 29}1.7018194
1850.year{col 13}-.01680849{col 29}2.7446076
1900.year{col 13}2.976154{col 29}6.9188109
2.country{col 13}.61716012{col 29}1.3889165
3.country{col 13}-2.2352321{col 29}-1.498565
4.country{col 13}-.68993269{col 29}.31474247
5.country{col 13}.80727422{col 29}1.4992898
6.country{col 13}3.7698745{col 29}4.4458762
7.country{col 13}.06122897{col 29}1.4671142
8.country{col 13}1.9005878{col 29}2.8954453
9.country{col 13}-1.0906645{col 29}-.15807401
10.country{col 13}-.55099138{col 29}1.8307314
11.country{col 13}.36902225{col 29}1.4755986
12.country{col 13}-.19150897{col 29}.47774902
13.country{col 13}.63505082{col 29}1.4546532
14.country{col 13}.73659085{col 29}1.6785206
15.country{col 13}.57842145{col 29}1.4395484
16.country{col 13}-.28657926{col 29}.74108152
17.country{col 13}.152473{col 29}.86701899
18.country{col 13}-2.1540054{col 29}-1.2731702
19.country{col 13}-.66691957{col 29}.4874894
20.country{col 13}.02884272{col 29}1.3591661
21.country{col 13}-.33897804{col 29}.80282682
22.country{col 13}-.7756146{col 29}.01229983
23.country{col 13}-.977689{col 29}.14024896
24.country{col 13}-.51268243{col 29}.72786695
25.country{col 13}.02522917{col 29}1.285012
26.country{col 13}.65071638{col 29}1.4182868
27.country{col 13}.65121474{col 29}1.0839391
28.country{col 13}1.2636705{col 29}2.4383778
29.country{col 13}.9434128{col 29}1.7288521
30.country{col 13}-4.3924333{col 29}-1.6628606
31.country{col 13}-.17918645{col 29}.63863136
32.country{col 13}.08156455{col 29}.75935854
33.country{col 13}.34509224{col 29}.84721578
34.country{col 13}.76496402{col 29}1.6293098
35.country{col 13}1.1934128{col 29}1.9788521
36.country{col 13}2.9450189{col 29}3.8737751
37.country{col 13}2.9599819{col 29}3.8214522
38.country{col 13}-.51566598{col 29}.63473355
39.country{col 13}-.06690859{col 29}.67953772
40.country{col 13}1.4319163{col 29}2.17709
41.country{col 13}-.14787215{col 29}.99189357
42.country{col 13}1.8846883{col 29}2.7210023
43.country{col 13}-.24218864{col 29}.88810774
44.country{col 13}.62713439{col 29}1.4637829
45.country{col 13}.69289887{col 29}1.1409896
46.country{col 13}-.0565872{col 29}.72885214
47.country{col 13}1.2959843{col 29}1.9141791
48.country{col 13}.87943611{col 29}1.8045839
49.country{col 13}-3.0096636{col 29}-1.1047974
50.country{col 13}-5.3603951{col 29}-2.9791117
51.country{col 13}-.65204758{col 29}2.2879742
52.country{col 13}-.29720323{col 29}1.0051373
53.country{col 13}-.61195946{col 29}1.0215534
54.country{col 13}.55686861{col 29}1.6613141
55.country{col 13}.37822671{col 29}1.030372
56.country{col 13}-.21770432{col 29}.75404197
57.country{col 13}-.34672456{col 29}.60361354
58.country{col 13}.51385053{col 29}1.1399205
59.country{col 13}2.9550055{col 29}3.2756693
60.country{col 13}.1934128{col 29}.97885214
61.country{col 13}-1.2238305{col 29}-.76566786
62.country{col 13}-1.428617{col 29}-1.0292736
63.country{col 13}-.60984184{col 29}-.15591009
64.country{col 13}-.33508313{col 29}-.02156712
65.country{col 13}.59145513{col 29}1.3095664
66.country{col 13}2.0069363{col 29}2.9990823
67.country{col 13}-.1959902{col 29}.5704929
68.country{col 13}-2.9537335{col 29}-1.2872887
69.country{col 13}-3.8547356{col 29}-1.6257792
70.country{col 13}.26049634{col 29}1.224208
71.country{col 13}.40813709{col 29}1.3028728
72.country{col 13}.26426353{col 29}.91939577
73.country{col 13}-.23851104{col 29}.21439953
74.country{col 13}.11703985{col 29}.78082881
75.country{col 13}.25876333{col 29}.7758688
76.country{col 13}1.5162704{col 29}2.178257
77.country{col 13}-6.3737506{col 29}-3.1357058
78.country{col 13}.03106273{col 29}1.1679581
79.country{col 13}-.45246317{col 29}-.04846872
80.country{col 13}.76695514{col 29}1.5648809
81.country{col 13}2.5593619{col 29}3.3531229
82.country{col 13}-.11163067{col 29}2.0952143
83.country{col 13}3.9409487{col 29}4.5595472
84.country{col 13}-.61205947{col 29}-.10372413
85.country{col 13}-.77528334{col 29}-.18649563
86.country{col 13}4.1933159{col 29}4.5656619
87.country{col 13}.92824647{col 29}1.6485802
88.country{col 13}.53693988{col 29}1.2568469
89.country{col 13}.39806507{col 29}1.344075
90.country{col 13}1.4704986{col 29}2.2175579
91.country{col 13}-.13783477{col 29}.51047337
92.country{col 13}-1.2924975{col 29}.1068266
93.country{col 13}-.0565872{col 29}.72885214
94.country{col 13}.39563947{col 29}1.1057538
95.country{col 13}-.84924957{col 29}.18043509
96.country{col 13}.13087194{col 29}.82078676
97.country{col 13}-1.0515715{col 29}-.22157623
98.country{col 13}.84219443{col 29}1.7039586
99.country{col 13}1.6989279{col 29}2.3976871
100.country{col 13}-.0160131{col 29}.99478659
101.country{col 13}1.6433557{col 29}2.41979
102.country{col 13}1.133964{col 29}1.9422743
103.country{col 13}.63017469{col 29}1.2967269
104.country{col 13}.31396098{col 29}1.081783
105.country{col 13}1.3907562{col 29}2.2116107
106.country{col 13}-.67605779{col 29}.89560276
107.country{col 13}1.4056852{col 29}1.8728126
108.country{col 13}-.97337257{col 29}.25361998
109.country{col 13}-.45880483{col 29}.23107844
110.country{col 13}2.353233{col 29}2.8532991
111.country{col 13}5.3290676{col 29}5.700712
112.country{col 13}-5.7871719{col 29}-2.8008209
113.country{col 13}.15153018{col 29}.97142915
114.country{col 13}-.55898287{col 29}.45734706
115.country{col 13}-3.1308208{col 29}-1.2329484
116.country{col 13}-.62359346{col 29}.21356982
117.country{col 13}-.200843{col 29}.82484101
118.country{col 13}-3.9279674{col 29}-2.2581657
119.country{col 13}-3.1586138{col 29}-.92498509
120.country{col 13}-4.2178608{col 29}-2.1175842
121.country{col 13}-.50631873{col 29}.53412711
122.country{col 13}-.61674079{col 29}.15265599
123.country{col 13}.11007947{col 29}.89551881
124.country{col 13}-.08234746{col 29}2.5021218
125.country{col 13}-5.8548638{col 29}-3.4055774
126.country{col 13}-1.4460382{col 29}-.98805173
127.country{col 13}-.0565872{col 29}.72885214
128.country{col 13}.47045287{col 29}1.2176865
129.country{col 13}-.27385983{col 29}.80503072
130.country{col 13}-.12764438{col 29}.64323062
city_pop_share{col 13}34.618431{col 29}75.351736
_cons{col 13}-11.598761{col 29}-10.707866
{res}{hline 78}
{txt}
{com}. 
. **Column 3**
. plausexog uci lead_polity `ln_oworld_flexible' `ln_tropical_flexible' `ln_rugged_flexible' `ln_elevation_flexible' i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.8) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.024,0.024,0.024,0.024,0.024,0.024,0.024,0.024,0.024,0.024,0.024) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900 ln_tropical_1100 ln_tropical_1200 ln_tropical_1300 ln_tropical_1400 ln_tropical_1500 ln_tropical_1600 ln_tropical_1700 ln_tropical_1750 ln_tropical_1800 ln_tropical_1850 ln_tropical_1900 ln_rugged_1100 ln_rugged_1200 ln_rugged_1300 ln_rugged_1400 ln_rugged_1500 ln_rugged_1600 ln_rugged_1700 ln_rugged_1750 ln_rugged_1800 ln_rugged_1850 ln_rugged_1900 ln_elevation_1100 ln_elevation_1200 ln_elevation_1300 ln_elevation_1400 ln_elevation_1500 ln_elevation_1600 ln_elevation_1700 ln_elevation_1750 ln_elevation_1800 ln_elevation_1850 ln_elevation_1900 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}ln_oworld_1100{col 13}-.07049811{col 29}.28083851
ln_oworld_1200{col 13}-.06558351{col 29}.10885238
ln_oworld_1300{col 13}-.05496776{col 29}.0773948
ln_oworld_1400{col 13}-.15632838{col 29}.002528
ln_oworld_1500{col 13}-.11025609{col 29}.01438393
ln_oworld_1600{col 13}-.17869573{col 29}-.0093651
ln_oworld_1700{col 13}-.11124062{col 29}.11765546
ln_oworld_1750{col 13}.12994636{col 29}.44409866
ln_oworld_1800{col 13}.36198357{col 29}.75928463
ln_oworld_1850{col 13}.68750658{col 29}1.153169
ln_oworld_1900{col 13}.43824399{col 29}1.242503
ln_tropical_1100{col 13}-.04955663{col 29}.04352752
ln_tropical_1200{col 13}-.05034279{col 29}.03526699
ln_tropical_1300{col 13}-.09073351{col 29}.01890569
ln_tropical_1400{col 13}-.03667116{col 29}.09059059
ln_tropical_1500{col 13}-.04759504{col 29}.04831146
ln_tropical_1600{col 13}-.11457979{col 29}.05505758
ln_tropical_1700{col 13}-.08859033{col 29}.0506405
ln_tropical_1750{col 13}-.28313647{col 29}-.09052615
ln_tropical_1800{col 13}-.43754031{col 29}-.19042692
ln_tropical_1850{col 13}-.53636981{col 29}-.20213563
ln_tropical_1900{col 13}-.32635302{col 29}.20296235
ln_rugged_1100{col 13}-.10040615{col 29}.97239879
ln_rugged_1200{col 13}-.08730023{col 29}.45158255
ln_rugged_1300{col 13}-.03485672{col 29}.51619475
ln_rugged_1400{col 13}-.060598{col 29}.76562183
ln_rugged_1500{col 13}-.11147918{col 29}.48789866
ln_rugged_1600{col 13}-.43478766{col 29}.43424472
ln_rugged_1700{col 13}-.03644458{col 29}.90616101
ln_rugged_1750{col 13}.24404762{col 29}1.4118773
ln_rugged_1800{col 13}.935519{col 29}2.4033177
ln_rugged_1850{col 13}2.0462355{col 29}3.9415
ln_rugged_1900{col 13}.43514192{col 29}2.6578209
ln_elevation_1100{col 13}-.59126574{col 29}.04039209
ln_elevation_1200{col 13}-.3360145{col 29}.05309398
ln_elevation_1300{col 13}-.35245516{col 29}.05416559
ln_elevation_1400{col 13}-.30326067{col 29}.18521728
ln_elevation_1500{col 13}-.45746607{col 29}.08836897
ln_elevation_1600{col 13}-.29580025{col 29}.48615832
ln_elevation_1700{col 13}-.60240292{col 29}.17158498
ln_elevation_1750{col 13}-1.0502107{col 29}-.15641614
ln_elevation_1800{col 13}-1.5735827{col 29}-.51373685
ln_elevation_1850{col 13}-3.9781292{col 29}-1.9628178
ln_elevation_1900{col 13}-2.4719096{col 29}-.18487243
1100.year{col 13}-.62752189{col 29}2.5352561
1200.year{col 13}-.30097791{col 29}1.6609605
1300.year{col 13}-.19183056{col 29}2.5880034
1400.year{col 13}-.86952299{col 29}2.2564319
1500.year{col 13}-.39584189{col 29}3.0779118
1600.year{col 13}-2.1410161{col 29}2.2177902
1700.year{col 13}-.49871366{col 29}4.0862703
1750.year{col 13}1.2989847{col 29}6.4955176
1800.year{col 13}3.0039962{col 29}9.383542
1850.year{col 13}11.787426{col 29}24.202723
1900.year{col 13}5.6663744{col 29}19.223897
2.country{col 13}-.66548089{col 29}.5564876
3.country{col 13}-1.5949196{col 29}-.87373775
4.country{col 13}-.22355369{col 29}1.3398432
5.country{col 13}.59648748{col 29}1.4781688
6.country{col 13}4.9778739{col 29}6.6939121
7.country{col 13}-.42178999{col 29}1.4187425
8.country{col 13}.8352725{col 29}3.355356
9.country{col 13}-1.7024801{col 29}.56097777
10.country{col 13}.13440069{col 29}2.6005044
11.country{col 13}.92049213{col 29}3.2724597
12.country{col 13}-.42734221{col 29}.20779379
13.country{col 13}-.47580634{col 29}.78345378
14.country{col 13}1.2210468{col 29}3.5237387
15.country{col 13}-.58165843{col 29}.84208695
16.country{col 13}.14121296{col 29}2.2225916
17.country{col 13}.57327697{col 29}1.6734587
18.country{col 13}-2.0287509{col 29}-.64014588
19.country{col 13}-.28562502{col 29}1.5453986
20.country{col 13}.84903704{col 29}3.1472356
21.country{col 13}.04780551{col 29}1.9156635
22.country{col 13}-.41870144{col 29}.38905007
23.country{col 13}-.10076967{col 29}2.2170336
24.country{col 13}.00398126{col 29}1.9899049
25.country{col 13}.31713402{col 29}2.553339
26.country{col 13}-.62352541{col 29}.85719565
27.country{col 13}.34964072{col 29}.98521312
28.country{col 13}1.013542{col 29}2.316638
29.country{col 13}.50368388{col 29}1.5807651
30.country{col 13}-3.4232334{col 29}-.27558514
31.country{col 13}.16346195{col 29}1.7398955
32.country{col 13}-.5640128{col 29}.43739651
33.country{col 13}-.41149017{col 29}1.6429022
34.country{col 13}1.0391424{col 29}2.2471065
35.country{col 13}1.0297171{col 29}2.6215975
36.country{col 13}1.7922128{col 29}4.1262278
37.country{col 13}2.4977013{col 29}3.2820483
38.country{col 13}.04654379{col 29}2.2152157
39.country{col 13}-1.4648676{col 29}.85486253
40.country{col 13}1.2057329{col 29}1.9521081
41.country{col 13}-.05054087{col 29}2.1088619
42.country{col 13}.87278916{col 29}2.0439365
43.country{col 13}-.2183894{col 29}1.4642347
44.country{col 13}-.72100616{col 29}1.500408
45.country{col 13}.13641325{col 29}1.3039213
46.country{col 13}-.06782646{col 29}1.0206825
47.country{col 13}1.4706408{col 29}2.6210971
48.country{col 13}.81186614{col 29}2.2726467
49.country{col 13}-2.8444618{col 29}-.35571958
50.country{col 13}-4.8305805{col 29}-2.1739373
51.country{col 13}-.30360267{col 29}2.9632199
52.country{col 13}-.72006774{col 29}.8229486
53.country{col 13}-1.1963953{col 29}.79469942
54.country{col 13}-.12512717{col 29}1.2144095
55.country{col 13}.31286639{col 29}1.4679629
56.country{col 13}-.73730653{col 29}1.2461898
57.country{col 13}.13240998{col 29}1.8144686
58.country{col 13}-.15802032{col 29}.6479153
59.country{col 13}1.641349{col 29}2.5427225
60.country{col 13}.28765148{col 29}2.126619
61.country{col 13}-1.3569735{col 29}-.5645961
62.country{col 13}-1.742382{col 29}-.8141293
63.country{col 13}-.88291109{col 29}.52194484
64.country{col 13}-.95503671{col 29}-.32597667
65.country{col 13}-.09304095{col 29}.71133589
66.country{col 13}2.2689463{col 29}4.3026353
67.country{col 13}-.52081698{col 29}1.2859359
68.country{col 13}-2.1410059{col 29}-.65707255
69.country{col 13}-3.8776106{col 29}-.99186779
70.country{col 13}.16606574{col 29}1.671775
71.country{col 13}.67262587{col 29}2.1085588
72.country{col 13}.13234563{col 29}1.5253095
73.country{col 13}.75901949{col 29}2.4343056
74.country{col 13}.66235443{col 29}2.8609394
75.country{col 13}-1.0566275{col 29}.37912412
76.country{col 13}1.9281878{col 29}3.0620988
77.country{col 13}-6.2656196{col 29}-2.0865673
78.country{col 13}-.04160845{col 29}1.8283911
79.country{col 13}-.69018643{col 29}.36536841
80.country{col 13}.66165334{col 29}2.0479759
81.country{col 13}1.7393447{col 29}2.6566926
82.country{col 13}.80182725{col 29}2.8716766
83.country{col 13}2.8387269{col 29}3.6675253
84.country{col 13}.7519144{col 29}2.0661764
85.country{col 13}-.19058693{col 29}1.2430412
86.country{col 13}3.3700476{col 29}4.1246916
87.country{col 13}.90782082{col 29}1.9292375
88.country{col 13}-.17046535{col 29}.92652954
89.country{col 13}.37844074{col 29}1.7356241
90.country{col 13}.76920911{col 29}2.0620819
91.country{col 13}-.71894284{col 29}.76473434
92.country{col 13}-1.5162416{col 29}-.01469971
93.country{col 13}-.80085693{col 29}1.4135057
94.country{col 13}-.64487651{col 29}.5277693
95.country{col 13}-1.9305023{col 29}-.49976771
96.country{col 13}.36800536{col 29}1.2524366
97.country{col 13}-.20221078{col 29}.69877408
98.country{col 13}.22561047{col 29}2.4775875
99.country{col 13}.70517298{col 29}1.8318793
100.country{col 13}-.28234311{col 29}1.5762709
101.country{col 13}.52878024{col 29}1.893339
102.country{col 13}-.08759494{col 29}1.2332271
103.country{col 13}.27566017{col 29}1.7336975
104.country{col 13}-.14629627{col 29}1.4221617
105.country{col 13}1.1890136{col 29}2.2373381
106.country{col 13}-.74428775{col 29}1.1005256
107.country{col 13}1.1755618{col 29}2.4619167
108.country{col 13}-.58111691{col 29}1.2808786
109.country{col 13}-1.2223285{col 29}-.10953036
110.country{col 13}1.7363378{col 29}2.7752621
111.country{col 13}4.4549939{col 29}5.0511202
112.country{col 13}-4.9152213{col 29}-1.3943836
113.country{col 13}-.49466487{col 29}.38675176
114.country{col 13}.03283687{col 29}1.7049849
115.country{col 13}-2.7533848{col 29}-.06866681
116.country{col 13}-1.0353777{col 29}.22829125
117.country{col 13}-.01699763{col 29}2.0031444
118.country{col 13}-3.6485669{col 29}-1.9168486
119.country{col 13}-3.2853459{col 29}-.42045801
120.country{col 13}-2.7929388{col 29}-.62209851
121.country{col 13}-.02627302{col 29}1.4753826
122.country{col 13}-1.4997584{col 29}.01395578
123.country{col 13}-.45537361{col 29}1.076587
124.country{col 13}.15002585{col 29}2.9322014
125.country{col 13}-5.0486972{col 29}-2.3150617
126.country{col 13}-1.9559099{col 29}-.89272051
127.country{col 13}.63284689{col 29}2.5042415
128.country{col 13}.62537468{col 29}1.4556158
129.country{col 13}.3372352{col 29}2.1482214
130.country{col 13}.1720632{col 29}1.477113
city_pop_share{col 13}13.04452{col 29}67.148791
_cons{col 13}-11.821368{col 29}-10.423522
{res}{hline 78}
{txt}
{com}. 
. 
. ********************************************************
. *  20% of the reduced-form estimated effect at 95% CI  *
. ********************************************************
. 
. **Column 1**
. plausexog uci lead_polity i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.9) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}1100.year{col 13}-1.2183085{col 29}.70397106
1200.year{col 13}-.99845473{col 29}.47398276
1300.year{col 13}-.47182874{col 29}1.0593498
1400.year{col 13}-1.2822167{col 29}.43922134
1500.year{col 13}-1.0312636{col 29}.35667267
1600.year{col 13}-1.3406301{col 29}.43952081
1700.year{col 13}-.80691686{col 29}.90144149
1750.year{col 13}.18318542{col 29}2.097225
1800.year{col 13}1.0268457{col 29}3.165684
1850.year{col 13}3.2184708{col 29}5.790123
1900.year{col 13}6.5717841{col 29}9.8129558
2.country{col 13}.80526422{col 29}1.9333883
3.country{col 13}-2.8789892{col 29}-1.5617545
4.country{col 13}-.26681627{col 29}.9251891
5.country{col 13}.82164559{col 29}1.9417901
6.country{col 13}3.461155{col 29}4.6524184
7.country{col 13}-1.1429074{col 29}1.2317968
8.country{col 13}2.4500238{col 29}3.5790944
9.country{col 13}-.83359806{col 29}.37634935
10.country{col 13}-2.4968867{col 29}1.2453721
11.country{col 13}.97505991{col 29}2.2366652
12.country{col 13}-.36404967{col 29}.84556945
13.country{col 13}.82243382{col 29}1.9815765
14.country{col 13}1.1417266{col 29}2.4033319
15.country{col 13}.81902144{col 29}1.965715
16.country{col 13}.22505991{col 29}1.4866652
17.country{col 13}.28266762{col 29}1.3886608
18.country{col 13}-2.6135954{col 29}-1.1973647
19.country{col 13}.06650989{col 29}1.1746213
20.country{col 13}.89172658{col 29}2.1533319
21.country{col 13}.30839324{col 29}1.5699986
22.country{col 13}-.5369817{col 29}.19623503
23.country{col 13}-.35827342{col 29}.90333191
24.country{col 13}.25731995{col 29}1.4173322
25.country{col 13}.80839324{col 29}2.0699986
26.country{col 13}.85783586{col 29}1.9096614
27.country{col 13}.44661413{col 29}1.194027
28.country{col 13}.23698893{col 29}2.2756177
29.country{col 13}.64172658{col 29}1.9033319
30.country{col 13}-6.4035186{col 29}-2.7145854
31.country{col 13}.05839324{col 29}1.3199986
32.country{col 13}.05839324{col 29}1.3199986
33.country{col 13}.37781161{col 29}1.1104787
34.country{col 13}1.0770871{col 29}2.1374555
35.country{col 13}.89172658{col 29}2.1533319
36.country{col 13}3.1773988{col 29}4.4489807
37.country{col 13}2.3049831{col 29}3.9909911
38.country{col 13}.14172658{col 29}1.4033319
39.country{col 13}.05839324{col 29}1.3199986
40.country{col 13}.89056385{col 29}2.3447075
41.country{col 13}.55465262{col 29}1.7097674
42.country{col 13}1.1601604{col 29}2.7124128
43.country{col 13}.39172658{col 29}1.6533319
44.country{col 13}.89172658{col 29}2.1533319
45.country{col 13}.58294732{col 29}1.2637617
46.country{col 13}-.35827342{col 29}.90333191
47.country{col 13}1.7810032{col 29}2.0892879
48.country{col 13}1.4868904{col 29}2.3553012
49.country{col 13}-4.469612{col 29}-1.5753571
50.country{col 13}-7.2517894{col 29}-3.5211065
51.country{col 13}-2.9824407{col 29}1.5886836
52.country{col 13}-1.3524596{col 29}.61186053
53.country{col 13}-2.0088035{col 29}.86921631
54.country{col 13}-.4044191{col 29}1.638273
55.country{col 13}.30261702{col 29}1.5122361
56.country{col 13}.22505991{col 29}1.4866652
57.country{col 13}-.0257506{col 29}1.2252839
58.country{col 13}-.05736081{col 29}1.1216676
59.country{col 13}2.7482798{col 29}3.34305
60.country{col 13}-.10827342{col 29}1.1533319
61.country{col 13}-1.5201619{col 29}-.84746279
62.country{col 13}-1.1916077{col 29}-.86213912
63.country{col 13}-.89737372{col 29}-.05364053
64.country{col 13}-.40630517{col 29}-.3146526
65.country{col 13}.60340485{col 29}1.754916
66.country{col 13}2.4750599{col 29}3.7366652
67.country{col 13}.0148244{col 29}1.1250269
68.country{col 13}-4.3802407{col 29}-1.5301166
69.country{col 13}-5.641684{col 29}-2.2614339
70.country{col 13}.71579408{col 29}1.8221264
71.country{col 13}.70418188{col 29}1.9045761
72.country{col 13}.48911206{col 29}1.4621556
73.country{col 13}.11905119{col 29}.38903486
74.country{col 13}-.02494009{col 29}1.2366652
75.country{col 13}.32869495{col 29}1.0726598
76.country{col 13}1.3917266{col 29}2.6533319
77.country{col 13}-9.0004194{col 29}-3.855498
78.country{col 13}.68502083{col 29}1.8376769
79.country{col 13}-.47177433{col 29}.13598287
80.country{col 13}.97505991{col 29}2.2366652
81.country{col 13}2.8508693{col 29}3.9757741
82.country{col 13}-1.895252{col 29}1.5375511
83.country{col 13}3.4688049{col 29}4.6239604
84.country{col 13}-.94018856{col 29}-.26590278
85.country{col 13}-.24085958{col 29}-.10723705
86.country{col 13}4.08796{col 29}4.7096055
87.country{col 13}.66315211{col 29}1.4413817
88.country{col 13}.79785222{col 29}1.7443935
89.country{col 13}.80839324{col 29}2.0699986
90.country{col 13}1.9516877{col 29}2.6751302
91.country{col 13}.00223318{col 29}.67415166
92.country{col 13}-2.4945103{col 29}-.10538957
93.country{col 13}-.35827342{col 29}.90333191
94.country{col 13}.58787238{col 29}1.4274104
95.country{col 13}-.48621185{col 29}.52602974
96.country{col 13}.14172658{col 29}1.4033319
97.country{col 13}-1.2013418{col 29}-.92118839
98.country{col 13}1.1417266{col 29}2.4033319
99.country{col 13}1.8544094{col 29}2.7872895
100.country{col 13}.47505991{col 29}1.7366652
101.country{col 13}1.8176543{col 29}2.9211401
102.country{col 13}1.2744936{col 29}2.4853051
103.country{col 13}.47505991{col 29}1.7366652
104.country{col 13}.47505991{col 29}1.7366652
105.country{col 13}1.6185689{col 29}2.6923694
106.country{col 13}-1.9819136{col 29}.68045342
107.country{col 13}1.6860017{col 29}2.1864286
108.country{col 13}-.1811948{col 29}.99122846
109.country{col 13}-.38479915{col 29}.7213274
110.country{col 13}2.4218173{col 29}3.0032209
111.country{col 13}5.2763906{col 29}5.8664787
112.country{col 13}-8.174552{col 29}-3.5493165
113.country{col 13}.45997666{col 29}1.6079886
114.country{col 13}-.14633055{col 29}1.0691518
115.country{col 13}-4.495754{col 29}-1.369579
116.country{col 13}-.35827342{col 29}.90333191
117.country{col 13}.30839324{col 29}1.5699986
118.country{col 13}-5.2971538{col 29}-2.6589311
119.country{col 13}-5.0096191{col 29}-1.2406361
120.country{col 13}-5.6945678{col 29}-3.0695486
121.country{col 13}.0953908{col 29}1.2092783
122.country{col 13}-.38108294{col 29}.39314072
123.country{col 13}-.19160676{col 29}1.0699986
124.country{col 13}-2.2268258{col 29}2.0490931
125.country{col 13}-7.7043511{col 29}-3.891919
126.country{col 13}-1.1170248{col 29}-.82163691
127.country{col 13}-.35827342{col 29}.90333191
128.country{col 13}.1742513{col 29}1.2718024
129.country{col 13}.20199219{col 29}1.4712371
130.country{col 13}.07269527{col 29}1.1924462
city_pop_share{col 13}46.237101{col 29}107.0626
_cons{col 13}-12.189904{col 29}-10.855347
{res}{hline 78}
{txt}
{com}. 
. **Column 2**
. plausexog uci lead_polity `ln_oworld_flexible' i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.9) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.092,0.092,0.092,0.092,0.092,0.092,0.092,0.092,0.092,0.092,0.092) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}ln_oworld_1100{col 13}-.20636326{col 29}.38823813
ln_oworld_1200{col 13}-.15904336{col 29}.13693334
ln_oworld_1300{col 13}-.16271684{col 29}.04641019
ln_oworld_1400{col 13}-.25844226{col 29}-.00665625
ln_oworld_1500{col 13}-.21080761{col 29}.0016522
ln_oworld_1600{col 13}-.35454277{col 29}-.00989741
ln_oworld_1700{col 13}-.23568524{col 29}.06000972
ln_oworld_1750{col 13}-.11527433{col 29}.25049695
ln_oworld_1800{col 13}-.02182089{col 29}.4379542
ln_oworld_1850{col 13}.15153864{col 29}.74675063
ln_oworld_1900{col 13}.2042298{col 29}.96567996
1100.year{col 13}-3.2492495{col 29}1.5373961
1200.year{col 13}-1.2318391{col 29}.94167813
1300.year{col 13}-.19766858{col 29}1.3899579
1400.year{col 13}-.19307361{col 29}1.3887602
1500.year{col 13}-.18574626{col 29}1.0785632
1600.year{col 13}.06215152{col 29}1.7516939
1700.year{col 13}-.06159406{col 29}1.706904
1750.year{col 13}-.233675{col 29}1.8327309
1800.year{col 13}-.5629622{col 29}2.0578197
1850.year{col 13}-.41453146{col 29}3.2132195
1900.year{col 13}2.395207{col 29}7.5263439
2.country{col 13}.41536832{col 29}1.5051827
3.country{col 13}-2.4642846{col 29}-1.3810298
4.country{col 13}-.93679507{col 29}.46427894
5.country{col 13}.59401679{col 29}1.5839171
6.country{col 13}3.5091155{col 29}4.515313
7.country{col 13}-.34421288{col 29}1.7039421
8.country{col 13}1.7565696{col 29}3.2276788
9.country{col 13}-1.3896367{col 29}-.05357606
10.country{col 13}-1.1430279{col 29}2.2677206
11.country{col 13}.20489376{col 29}1.8347394
12.country{col 13}-.32379774{col 29}.60197002
13.country{col 13}.38111085{col 29}1.5512977
14.country{col 13}.59025097{col 29}1.977645
15.country{col 13}.31393076{col 29}1.5403831
16.country{col 13}-.44218383{col 29}1.0719345
17.country{col 13}-.02871663{col 29}.98062824
18.country{col 13}-2.2508803{col 29}-.97868238
19.country{col 13}-.86183766{col 29}.77492028
20.country{col 13}-.15949089{col 29}1.7957546
21.country{col 13}-.50691294{col 29}1.1743907
22.country{col 13}-1.059077{col 29}.09550212
23.country{col 13}-1.143045{col 29}.5034084
24.country{col 13}-.74078805{col 29}.9889988
25.country{col 13}-.15546495{col 29}1.6975068
26.country{col 13}.42383656{col 29}1.5136084
27.country{col 13}.45126161{col 29}1.122382
28.country{col 13}.89423951{col 29}2.6254957
29.country{col 13}.78597703{col 29}1.8520051
30.country{col 13}-4.9610542{col 29}-1.1036631
31.country{col 13}-.31204862{col 29}.88846313
32.country{col 13}-.0355711{col 29}.9358337
33.country{col 13}.13969233{col 29}.89615746
34.country{col 13}.52302246{col 29}1.7394589
35.country{col 13}1.035977{col 29}2.1020051
36.country{col 13}2.6737467{col 29}4.0149444
37.country{col 13}2.6542828{col 29}3.9311505
38.country{col 13}-.68452973{col 29}1.0093122
39.country{col 13}-.19190539{col 29}.8970092
40.country{col 13}1.1452352{col 29}2.2609702
41.country{col 13}-.30913754{col 29}1.3721862
42.country{col 13}1.6229896{col 29}2.8519477
43.country{col 13}-.40887992{col 29}1.2556252
44.country{col 13}.49221687{col 29}1.721493
45.country{col 13}.4994649{col 29}1.1830279
46.country{col 13}-.21402297{col 29}.85200512
47.country{col 13}1.2034622{col 29}2.0410066
48.country{col 13}.75872152{col 29}2.1350858
49.country{col 13}-3.3818351{col 29}-.68624927
50.country{col 13}-5.8784823{col 29}-2.4974062
51.country{col 13}-1.2917021{col 29}2.8825154
52.country{col 13}-.64288807{col 29}1.2344346
53.country{col 13}-1.062518{col 29}1.3019177
54.country{col 13}.20707592{col 29}1.8332505
55.country{col 13}.25473056{col 29}1.1726171
56.country{col 13}-.36726799{col 29}1.0643492
57.country{col 13}-.59827327{col 29}.73800335
58.country{col 13}.26691922{col 29}1.2209922
59.country{col 13}2.7886363{col 29}3.3011585
60.country{col 13}.03597703{col 29}1.1020051
61.country{col 13}-1.2760953{col 29}-.61796889
62.country{col 13}-1.4616653{col 29}-.83021331
63.country{col 13}-.8259626{col 29}-.11615288
64.country{col 13}-.43702209{col 29}.01585453
65.country{col 13}.35354311{col 29}1.3900826
66.country{col 13}1.8551682{col 29}3.3169436
67.country{col 13}-.38250015{col 29}.69893439
68.country{col 13}-3.4244234{col 29}-1.0035779
69.country{col 13}-4.3852354{col 29}-1.2066388
70.country{col 13}.04530528{col 29}1.3902538
71.country{col 13}.17650933{col 29}1.434693
72.country{col 13}.1664332{col 29}1.1430795
73.country{col 13}-.2785797{col 29}.42698438
74.country{col 13}.00048528{col 29}.92923099
75.country{col 13}.06830106{col 29}.82974957
76.country{col 13}1.4002209{col 29}2.3299426
77.country{col 13}-7.1329133{col 29}-2.5194846
78.country{col 13}-.18845469{col 29}1.3987071
79.country{col 13}-.53223435{col 29}.00557578
80.country{col 13}.63627117{col 29}1.8061535
81.country{col 13}2.4207461{col 29}3.5646286
82.country{col 13}-.63676589{col 29}2.5108569
83.country{col 13}3.7550425{col 29}4.6502582
84.country{col 13}-.68040524{col 29}.03550188
85.country{col 13}-.84844136{col 29}-.03319629
86.country{col 13}4.0071922{col 29}4.5964205
87.country{col 13}.77240161{col 29}1.7429634
88.country{col 13}.36185563{col 29}1.3729469
89.country{col 13}.25128388{col 29}1.6447405
90.country{col 13}1.3778268{col 29}2.4992331
91.country{col 13}-.39358018{col 29}.57521754
92.country{col 13}-1.6971659{col 29}.34195694
93.country{col 13}-.21402297{col 29}.85200512
94.country{col 13}.14916367{col 29}1.1822095
95.country{col 13}-1.1881444{col 29}.29435699
96.country{col 13}.01228515{col 29}1.0061033
97.country{col 13}-1.2442158{col 29}-.11264755
98.country{col 13}.70454331{col 29}1.971903
99.country{col 13}1.4585423{col 29}2.4732841
100.country{col 13}-.1697964{col 29}1.3194952
101.country{col 13}1.4029086{col 29}2.5115028
102.country{col 13}.88759893{col 29}2.0412825
103.country{col 13}.51261082{col 29}1.4425974
104.country{col 13}.18659184{col 29}1.3094963
105.country{col 13}1.1309717{col 29}2.3041463
106.country{col 13}-1.062786{col 29}1.1848957
107.country{col 13}1.3568009{col 29}2.0773658
108.country{col 13}-1.1451297{col 29}.66228057
109.country{col 13}-.64378447{col 29}.33231922
110.country{col 13}2.141943{col 29}2.9009222
111.country{col 13}5.1415848{col 29}5.731089
112.country{col 13}-6.4631585{col 29}-2.2161447
113.country{col 13}.00628503{col 29}1.1838033
114.country{col 13}-.81630176{col 29}.60268533
115.country{col 13}-3.4257305{col 29}-.74494766
116.country{col 13}-.75856709{col 29}.47149267
117.country{col 13}-.35623405{col 29}1.1549757
118.country{col 13}-4.3473762{col 29}-1.9537266
119.country{col 13}-3.7014024{col 29}-.5106315
120.country{col 13}-4.6621569{col 29}-1.6992867
121.country{col 13}-.68373696{col 29}.79980855
122.country{col 13}-.88667827{col 29}.23502583
123.country{col 13}-.0473563{col 29}1.0186718
124.country{col 13}-.72576725{col 29}2.9755649
125.country{col 13}-6.2970054{col 29}-2.8337229
126.country{col 13}-1.4861544{col 29}-.77323902
127.country{col 13}-.21402297{col 29}.85200512
128.country{col 13}.31863026{col 29}1.3273213
129.country{col 13}-.52810098{col 29}.9761739
130.country{col 13}-.32283075{col 29}.76459502
city_pop_share{col 13}26.311093{col 29}84.080702
_cons{col 13}-11.773663{col 29}-10.553285
{res}{hline 78}
{txt}
{com}. 
. **Column 3**
. plausexog uci lead_polity `ln_oworld_flexible' `ln_tropical_flexible' `ln_rugged_flexible' `ln_elevation_flexible' i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.9) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.048,0.048,0.048,0.048,0.048,0.048,0.048,0.048,0.048,0.048,0.048)vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900 ln_tropical_1100 ln_tropical_1200 ln_tropical_1300 ln_tropical_1400 ln_tropical_1500 ln_tropical_1600 ln_tropical_1700 ln_tropical_1750 ln_tropical_1800 ln_tropical_1850 ln_tropical_1900 ln_rugged_1100 ln_rugged_1200 ln_rugged_1300 ln_rugged_1400 ln_rugged_1500 ln_rugged_1600 ln_rugged_1700 ln_rugged_1750 ln_rugged_1800 ln_rugged_1850 ln_rugged_1900 ln_elevation_1100 ln_elevation_1200 ln_elevation_1300 ln_elevation_1400 ln_elevation_1500 ln_elevation_1600 ln_elevation_1700 ln_elevation_1750 ln_elevation_1800 ln_elevation_1850 ln_elevation_1900 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}ln_oworld_1100{col 13}-.14373749{col 29}.33926086
ln_oworld_1200{col 13}-.11338008{col 29}.1349324
ln_oworld_1300{col 13}-.09617863{col 29}.09741178
ln_oworld_1400{col 13}-.20502098{col 29}.02141753
ln_oworld_1500{col 13}-.15233356{col 29}.03032481
ln_oworld_1600{col 13}-.22929524{col 29}.01050687
ln_oworld_1700{col 13}-.16839057{col 29}.14937468
ln_oworld_1750{col 13}.06177962{col 29}.4888568
ln_oworld_1800{col 13}.28143699{col 29}.81686621
ln_oworld_1850{col 13}.59868238{col 29}1.2203411
ln_oworld_1900{col 13}.30150092{col 29}1.3609909
ln_tropical_1100{col 13}-.06376553{col 29}.06795319
ln_tropical_1200{col 13}-.06328607{col 29}.05806433
ln_tropical_1300{col 13}-.109256{col 29}.04267189
ln_tropical_1400{col 13}-.05615346{col 29}.12220492
ln_tropical_1500{col 13}-.06288812{col 29}.07302088
ln_tropical_1600{col 13}-.14329077{col 29}.09078703
ln_tropical_1700{col 13}-.1074614{col 29}.08274435
ln_tropical_1750{col 13}-.30983752{col 29}-.05245627
ln_tropical_1800{col 13}-.47332769{col 29}-.14503271
ln_tropical_1850{col 13}-.58449602{col 29}-.14531413
ln_tropical_1900{col 13}-.4087987{col 29}.29213769
ln_rugged_1100{col 13}-.26356993{col 29}1.1604957
ln_rugged_1200{col 13}-.18321627{col 29}.54322236
ln_rugged_1300{col 13}-.12135333{col 29}.61868859
ln_rugged_1400{col 13}-.18369227{col 29}.91734167
ln_rugged_1500{col 13}-.21509114{col 29}.59689754
ln_rugged_1600{col 13}-.59891718{col 29}.58012326
ln_rugged_1700{col 13}-.17515459{col 29}1.0682733
ln_rugged_1750{col 13}.07215631{col 29}1.5944167
ln_rugged_1800{col 13}.71985413{col 29}2.6241818
ln_rugged_1850{col 13}1.7658682{col 29}4.2208972
ln_rugged_1900{col 13}.1034455{col 29}2.9831155
ln_elevation_1100{col 13}-.70156044{col 29}.13136804
ln_elevation_1200{col 13}-.4028081{col 29}.11706086
ln_elevation_1300{col 13}-.42845227{col 29}.12290651
ln_elevation_1400{col 13}-.39034913{col 29}.27487826
ln_elevation_1500{col 13}-.55757375{col 29}.17766894
ln_elevation_1600{col 13}-.42368833{col 29}.63488769
ln_elevation_1700{col 13}-.71099753{col 29}.30543912
ln_elevation_1750{col 13}-1.1845792{col 29}-.00932763
ln_elevation_1800{col 13}-1.7372316{col 29}-.34667189
ln_elevation_1850{col 13}-4.2768455{col 29}-1.6594286
ln_elevation_1900{col 13}-2.8353168{col 29}.19636703
1100.year{col 13}-1.1310667{col 29}3.1129773
1200.year{col 13}-.60859531{col 29}2.013097
1300.year{col 13}-.59284179{col 29}3.1142088
1400.year{col 13}-1.3936186{col 29}2.8388997
1500.year{col 13}-.89576453{col 29}3.7300649
1600.year{col 13}-2.9179271{col 29}2.9825492
1700.year{col 13}-1.2546792{col 29}4.7333256
1750.year{col 13}.47829981{col 29}7.262184
1800.year{col 13}2.0330734{col 29}10.34763
1850.year{col 13}9.956954{col 29}26.01762
1900.year{col 13}3.4287686{col 29}21.389969
2.country{col 13}-.89110402{col 29}.7504467
3.country{col 13}-1.7564728{col 29}-.78066378
4.country{col 13}-.56849021{col 29}1.5524486
5.country{col 13}.39509091{col 29}1.5971249
6.country{col 13}4.5724799{col 29}6.9099662
7.country{col 13}-.78098088{col 29}1.7182702
8.country{col 13}.44275951{col 29}3.8173992
9.country{col 13}-2.1401284{col 29}.9047424
10.country{col 13}-.3318582{col 29}3.0115204
11.country{col 13}.55281293{col 29}3.6920696
12.country{col 13}-.5458753{col 29}.29756574
13.country{col 13}-.72990306{col 29}.96999069
14.country{col 13}.86695617{col 29}3.9606045
15.country{col 13}-.86325986{col 29}1.0565029
16.country{col 13}-.18697656{col 29}2.5900042
17.country{col 13}.31619453{col 29}1.8182035
18.country{col 13}-2.2542144{col 29}-.4268383
19.country{col 13}-.59510389{col 29}1.8455191
20.country{col 13}.50181848{col 29}3.5680466
21.country{col 13}-.24067186{col 29}2.2570706
22.country{col 13}-.65714255{col 29}.48272131
23.country{col 13}-.45877552{col 29}2.624711
24.country{col 13}-.3561272{col 29}2.2948457
25.country{col 13}-.02802652{col 29}2.9655391
26.country{col 13}-.9078036{col 29}1.086076
27.country{col 13}.19488496{col 29}1.06458
28.country{col 13}.74069515{col 29}2.488146
29.country{col 13}.29524189{col 29}1.7356593
30.country{col 13}-3.9715047{col 29}.27841635
31.country{col 13}-.09492654{col 29}2.0067384
32.country{col 13}-.73301761{col 29}.62187835
33.country{col 13}-.80368717{col 29}1.9560736
34.country{col 13}.74240092{col 29}2.3998119
35.country{col 13}.68816234{col 29}2.8341128
36.country{col 13}1.3533261{col 29}4.4955836
37.country{col 13}2.3195513{col 29}3.3829038
38.country{col 13}-.28931762{col 29}2.604709
39.country{col 13}-1.8387583{col 29}1.2575486
40.country{col 13}1.0333031{col 29}2.0469017
41.country{col 13}-.38362894{col 29}2.5064367
42.country{col 13}.6433049{col 29}2.2131721
43.country{col 13}-.47656364{col 29}1.7765251
44.country{col 13}-1.0706658{col 29}1.8946659
45.country{col 13}-.09560507{col 29}1.4728671
46.country{col 13}-.28598309{col 29}1.1765994
47.country{col 13}1.2475293{col 29}2.7847686
48.country{col 13}.6077293{col 29}2.5433341
49.country{col 13}-3.2498455{col 29}.10777217
50.country{col 13}-5.2865449{col 29}-1.6992077
51.country{col 13}-.86399633{col 29}3.5430094
52.country{col 13}-1.0184969{col 29}1.0660493
53.country{col 13}-1.574952{col 29}1.12075
54.country{col 13}-.40596901{col 29}1.4108281
55.country{col 13}.10415304{col 29}1.6575242
56.country{col 13}-1.0565025{col 29}1.6394753
57.country{col 13}-.24104596{col 29}2.0431703
58.country{col 13}-.34427395{col 29}.75297089
59.country{col 13}1.4680241{col 29}2.6704923
60.country{col 13}-.05634843{col 29}2.406928
61.country{col 13}-1.4713927{col 29}-.39833779
62.country{col 13}-1.8865301{col 29}-.65426112
63.country{col 13}-1.1634981{col 29}.7226721
64.country{col 13}-1.0833539{col 29}-.2439221
65.country{col 13}-.27646272{col 29}.8171353
66.country{col 13}1.9458597{col 29}4.6614485
67.country{col 13}-.85455232{col 29}1.5753737
68.country{col 13}-2.4529668{col 29}-.44099622
69.country{col 13}-4.3995257{col 29}-.49152375
70.country{col 13}-.14318418{col 29}1.8886932
71.country{col 13}.35632479{col 29}2.3052704
72.country{col 13}-.08481306{col 29}1.7585851
73.country{col 13}.52831629{col 29}2.7238247
74.country{col 13}.29122446{col 29}3.223817
75.country{col 13}-1.3300619{col 29}.59954412
76.country{col 13}1.7326322{col 29}3.2491599
77.country{col 13}-7.0082763{col 29}-1.3512909
78.country{col 13}-.38656658{col 29}2.1163788
79.country{col 13}-.92072976{col 29}.50284929
80.country{col 13}.43605131{col 29}2.3168293
81.country{col 13}1.5949742{col 29}2.8457929
82.country{col 13}.41249875{col 29}3.1703398
83.country{col 13}2.6848966{col 29}3.7800556
84.country{col 13}.52195556{col 29}2.2617662
85.country{col 13}-.43618653{col 29}1.4634565
86.country{col 13}3.1945356{col 29}4.2236948
87.country{col 13}.70206157{col 29}2.0705913
88.country{col 13}-.37736972{col 29}1.1018356
89.country{col 13}.17050009{col 29}1.9730465
90.country{col 13}.5996687{col 29}2.3107922
91.country{col 13}-1.0184154{col 29}.98013869
92.country{col 13}-1.8199457{col 29}.22133397
93.country{col 13}-1.2023815{col 29}1.7608873
94.country{col 13}-.8799038{col 29}.70043726
95.country{col 13}-2.2164016{col 29}-.29074512
96.country{col 13}.20144691{col 29}1.3828912
97.country{col 13}-.40448089{col 29}.81498923
98.country{col 13}-.13825134{col 29}2.869248
99.country{col 13}.47461783{col 29}1.9963895
100.country{col 13}-.5753707{col 29}1.9141956
101.country{col 13}.25688469{col 29}2.0982131
102.country{col 13}-.35217345{col 29}1.4297284
103.country{col 13}-.00654515{col 29}1.9470552
104.country{col 13}-.40707158{col 29}1.7192496
105.country{col 13}.93832298{col 29}2.3738214
106.country{col 13}-1.0774919{col 29}1.4192506
107.country{col 13}.9974698{col 29}2.6964912
108.country{col 13}-.86083003{col 29}1.6297705
109.country{col 13}-1.4516856{col 29}.0498831
110.country{col 13}1.5176709{col 29}2.9221883
111.country{col 13}4.3153429{col 29}5.1264035
112.country{col 13}-5.5376227{col 29}-.7722947
113.country{col 13}-.63531448{col 29}.56565066
114.country{col 13}-.33798444{col 29}1.9313511
115.country{col 13}-3.1936279{col 29}.41357388
116.country{col 13}-1.2337051{col 29}.45538789
117.country{col 13}-.33673929{col 29}2.3657297
118.country{col 13}-3.9765569{col 29}-1.6306795
119.country{col 13}-3.7973528{col 29}.08066533
120.country{col 13}-3.1903083{col 29}-.26543235
121.country{col 13}-.28201173{col 29}1.7187276
122.country{col 13}-1.7985902{col 29}.23821893
123.country{col 13}-.74181101{col 29}1.3083855
124.country{col 13}-.364309{col 29}3.4035374
125.country{col 13}-5.4726035{col 29}-1.787565
126.country{col 13}-2.1137059{col 29}-.69820337
127.country{col 13}.28511692{col 29}2.7878984
128.country{col 13}.4476713{col 29}1.5658278
129.country{col 13}-.03174241{col 29}2.4079911
130.country{col 13}-.11732479{col 29}1.6552464
city_pop_share{col 13}3.293598{col 29}76.462686
_cons{col 13}-12.047843{col 29}-10.176089
{res}{hline 78}
{txt}
{com}. 
. ********************************************************
. *  20% of the reduced-form estimated effect at 90% CI  *
. ********************************************************
. 
. **Column 1**
. plausexog uci lead_polity i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.8) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}1100.year{col 13}-1.0453684{col 29}.53528553
1200.year{col 13}-.87612756{col 29}.35400322
1300.year{col 13}-.35250754{col 29}.93183271
1400.year{col 13}-1.1329606{col 29}.29196371
1500.year{col 13}-.91875594{col 29}.24628526
1600.year{col 13}-1.1848357{col 29}.28608397
1700.year{col 13}-.65965171{col 29}.75450822
1750.year{col 13}.35219335{col 29}1.9270147
1800.year{col 13}1.2198322{col 29}2.9734989
1850.year{col 13}3.4592332{col 29}5.5465833
1900.year{col 13}6.8808845{col 29}9.5055459
2.country{col 13}.89031545{col 29}1.8409988
3.country{col 13}-2.7862835{col 29}-1.6452057
4.country{col 13}-.18898952{col 29}.84529622
5.country{col 13}.90601992{col 29}1.8482504
6.country{col 13}3.5187573{col 29}4.6005664
7.country{col 13}-.96696098{col 29}1.0734148
8.country{col 13}2.523352{col 29}3.4976343
9.country{col 13}-.7702261{col 29}.31245964
10.country{col 13}-2.1953211{col 29}.97612162
11.country{col 13}1.0588253{col 29}2.1436104
12.country{col 13}-.28028428{col 29}.75251459
13.country{col 13}.89888547{col 29}1.9030952
14.country{col 13}1.225492{col 29}2.310277
15.country{col 13}.88677329{col 29}1.8974096
16.country{col 13}.3088253{col 29}1.3936104
17.country{col 13}.36598642{col 29}1.2950387
18.country{col 13}-2.4948771{col 29}-1.3043563
19.country{col 13}.14951366{col 29}1.0805945
20.country{col 13}.97549197{col 29}2.060277
21.country{col 13}.39215863{col 29}1.4769437
22.country{col 13}-.53553253{col 29}.19477402
23.country{col 13}-.27450803{col 29}.81027705
24.country{col 13}.34243706{col 29}1.3250173
25.country{col 13}.89215863{col 29}1.9769437
26.country{col 13}.92673797{col 29}1.8389301
27.country{col 13}.47537599{col 29}1.166667
28.country{col 13}.38117876{col 29}2.1458221
29.country{col 13}.72549197{col 29}1.810277
30.country{col 13}-6.0904291{col 29}-2.9909705
31.country{col 13}.14215863{col 29}1.2269437
32.country{col 13}.14215863{col 29}1.2269437
33.country{col 13}.411816{col 29}1.0761965
34.country{col 13}1.1369192{col 29}2.0771346
35.country{col 13}.97549197{col 29}2.060277
36.country{col 13}3.2541793{col 29}4.3651332
37.country{col 13}2.4067209{col 29}3.8994097
38.country{col 13}.22549197{col 29}1.310277
39.country{col 13}.14215863{col 29}1.2269437
40.country{col 13}.97233144{col 29}2.2711026
41.country{col 13}.63003179{col 29}1.6260288
42.country{col 13}1.2672768{col 29}2.6159896
43.country{col 13}.47549197{col 29}1.560277
44.country{col 13}.97549197{col 29}2.060277
45.country{col 13}.60390046{col 29}1.2426374
46.country{col 13}-.27450803{col 29}.81027705
47.country{col 13}1.7894636{col 29}2.0807584
48.country{col 13}1.5396914{col 29}2.2966446
49.country{col 13}-4.2245439{col 29}-1.7916951
50.country{col 13}-6.9399561{col 29}-3.7962731
51.country{col 13}-2.5999414{col 29}1.2511602
52.country{col 13}-1.1964802{col 29}.47214942
53.country{col 13}-1.7948875{col 29}.67665515
54.country{col 13}-.26391574{col 29}1.5117957
55.country{col 13}.38638241{col 29}1.4191813
56.country{col 13}.3088253{col 29}1.3936104
57.country{col 13}.06066017{col 29}1.1338484
58.country{col 13}.01453542{col 29}1.0569486
59.country{col 13}2.7708667{col 29}3.3215639
60.country{col 13}-.02450803{col 29}1.060277
61.country{col 13}-1.4732784{col 29}-.89313383
62.country{col 13}-1.1821401{col 29}-.87153
63.country{col 13}-.86099767{col 29}-.08689085
64.country{col 13}-.39956095{col 29}-.32072356
65.country{col 13}.68852195{col 29}1.6626012
66.country{col 13}2.5588253{col 29}3.6436104
67.country{col 13}.0988543{col 29}1.0314047
68.country{col 13}-4.1680872{col 29}-1.7210913
69.country{col 13}-5.3620723{col 29}-2.5093827
70.country{col 13}.79436814{col 29}1.7388502
71.country{col 13}.7904545{col 29}1.8131406
72.country{col 13}.55015297{col 29}1.3943454
73.country{col 13}.12224506{col 29}.38586687
74.country{col 13}.0588253{col 29}1.1436104
75.country{col 13}.3690143{col 29}1.0320111
76.country{col 13}1.475492{col 29}2.560277
77.country{col 13}-8.5783942{col 29}-4.2308283
78.country{col 13}.77013793{col 29}1.7453621
79.country{col 13}-.43506384{col 29}.10293711
80.country{col 13}1.0588253{col 29}2.1436104
81.country{col 13}2.9318123{col 29}3.8854059
82.country{col 13}-1.6133529{col 29}1.2869431
83.country{col 13}3.5497521{col 29}4.5520699
84.country{col 13}-.89314076{col 29}-.31173386
85.country{col 13}-.23873944{col 29}-.10937451
86.country{col 13}4.1227384{col 29}4.6745429
87.country{col 13}.70885126{col 29}1.3906145
88.country{col 13}.86723148{col 29}1.6691474
89.country{col 13}.89215863{col 29}1.9769437
90.country{col 13}1.9930724{col 29}2.6291561
91.country{col 13}.00668428{col 29}.6696642
92.country{col 13}-2.3182851{col 29}-.26402258
93.country{col 13}-.27450803{col 29}.81027705
94.country{col 13}.61698866{col 29}1.3980563
95.country{col 13}-.46859912{col 29}.50827311
96.country{col 13}.22549197{col 29}1.310277
97.country{col 13}-1.1969908{col 29}-.92550413
98.country{col 13}1.225492{col 29}2.310277
99.country{col 13}1.9011637{col 29}2.7401532
100.country{col 13}.5588253{col 29}1.6436104
101.country{col 13}1.8911039{col 29}2.8457406
102.country{col 13}1.3607662{col 29}2.3938696
103.country{col 13}.5588253{col 29}1.6436104
104.country{col 13}.5588253{col 29}1.6436104
105.country{col 13}1.6770081{col 29}2.6334528
106.country{col 13}-1.7715439{col 29}.49202483
107.country{col 13}1.7098236{col 29}2.1599648
108.country{col 13}-.10445257{col 29}.90597562
109.country{col 13}-.30148034{col 29}.62770526
110.country{col 13}2.4301437{col 29}2.9948265
111.country{col 13}5.2984363{col 29}5.8442529
112.country{col 13}-7.7894811{col 29}-3.8891091
113.country{col 13}.5433733{col 29}1.5144693
114.country{col 13}-.0694297{col 29}.99152514
115.country{col 13}-4.2301442{col 29}-1.6040506
116.country{col 13}-.27450803{col 29}.81027705
117.country{col 13}.39215863{col 29}1.4769437
118.country{col 13}-5.0856302{col 29}-2.8483933
119.country{col 13}-4.7102588{col 29}-1.5087738
120.country{col 13}-5.4713319{col 29}-3.2673618
121.country{col 13}.17839457{col 29}1.1152515
122.country{col 13}-.36998323{col 29}.38195033
123.country{col 13}-.10784137{col 29}.97694372
124.country{col 13}-1.8875689{col 29}1.7452199
125.country{col 13}-7.380842{col 29}-4.1775022
126.country{col 13}-1.1112425{col 29}-.82737241
127.country{col 13}-.27450803{col 29}.81027705
128.country{col 13}.24509728{col 29}1.1930997
129.country{col 13}.28979409{col 29}1.3800766
130.country{col 13}.1570696{col 29}1.098824
city_pop_share{col 13}50.762655{col 29}101.934
_cons{col 13}-12.056512{col 29}-10.968747
{res}{hline 78}
{txt}
{com}. 
. **Column 2**
. plausexog uci lead_polity `ln_oworld_flexible' i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.8) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.092,0.092,0.092,0.092,0.092,0.092,0.092,0.092,0.092,0.092,0.092) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}ln_oworld_1100{col 13}-.14626697{col 29}.32952677
ln_oworld_1200{col 13}-.13264917{col 29}.1110593
ln_oworld_1300{col 13}-.14608843{col 29}.0301684
ln_oworld_1400{col 13}-.23774341{col 29}-.02300478
ln_oworld_1500{col 13}-.19397418{col 29}-.01172592
ln_oworld_1600{col 13}-.32377035{col 29}-.03397313
ln_oworld_1700{col 13}-.21137404{col 29}.03799711
ln_oworld_1750{col 13}-.08384606{col 29}.22011298
ln_oworld_1800{col 13}.01939975{col 29}.39729578
ln_oworld_1850{col 13}.20787287{col 29}.69068177
ln_oworld_1900{col 13}.28089158{col 29}.88960662
1100.year{col 13}-2.7326644{col 29}1.0091259
1200.year{col 13}-1.0019762{col 29}.7079323
1300.year{col 13}-.03411752{col 29}1.2236335
1400.year{col 13}-.0327276{col 29}1.2230345
1500.year{col 13}-.05576797{col 29}.94800481
1600.year{col 13}.19795158{col 29}1.5801507
1700.year{col 13}.09828242{col 29}1.5212165
1750.year{col 13}-.03823802{col 29}1.6181832
1800.year{col 13}-.30615682{col 29}1.7878256
1850.year{col 13}-.04711879{col 29}2.8329798
1900.year{col 13}2.9618692{col 29}6.9630835
2.country{col 13}.50314126{col 29}1.4125958
3.country{col 13}-2.3842951{col 29}-1.4564119
4.country{col 13}-.82104491{col 29}.3397727
5.country{col 13}.67207588{col 29}1.5038879
6.country{col 13}3.5822962{col 29}4.4458762
7.country{col 13}-.18809589{col 29}1.5562333
8.country{col 13}1.8558562{col 29}3.1221703
9.country{col 13}-1.2864826{col 29}-.15807401
10.country{col 13}-.86614723{col 29}2.0064083
11.country{col 13}.31662215{col 29}1.7160783
12.country{col 13}-.24602024{col 29}.51538509
13.country{col 13}.47331919{col 29}1.4570368
14.country{col 13}.6858456{col 29}1.8766735
15.country{col 13}.41109576{col 29}1.4406065
16.country{col 13}-.33826897{col 29}.96187169
17.country{col 13}.05244237{col 29}.89487304
18.country{col 13}-2.1540054{col 29}-1.0754219
19.country{col 13}-.73355678{col 29}.63740345
20.country{col 13}-.02513305{col 29}1.6520418
21.country{col 13}-.39166149{col 29}1.0518406
22.country{col 13}-.97763537{col 29}.01229983
23.country{col 13}-1.0301824{col 29}.383496
24.country{col 13}-.59918379{col 29}.83445471
25.country{col 13}-.02829818{col 29}1.5617695
26.country{col 13}.51143784{col 29}1.4233232
27.country{col 13}.48905899{col 29}1.0839391
28.country{col 13}1.0207411{col 29}2.505946
29.country{col 13}.88592708{col 29}1.7449392
30.country{col 13}-4.6329675{col 29}-1.4112519
31.country{col 13}-.22794596{col 29}.79980336
32.country{col 13}.03847225{col 29}.856356
33.country{col 13}.18809956{col 29}.84721578
34.country{col 13}.62337757{col 29}1.635259
35.country{col 13}1.1359271{col 29}1.9949392
36.country{col 13}2.7730995{col 29}3.9108576
37.country{col 13}2.7471151{col 29}3.846345
38.country{col 13}-.568416{col 29}.88580947
39.country{col 13}-.11376244{col 29}.81441996
40.country{col 13}1.2233712{col 29}2.1900796
41.country{col 13}-.19500785{col 29}1.2503772
42.country{col 13}1.7142701{col 29}2.7663881
43.country{col 13}-.29478145{col 29}1.1343485
44.country{col 13}.57799814{col 29}1.6310664
45.country{col 13}.54066337{col 29}1.1409896
46.country{col 13}-.11407292{col 29}.74493921
47.country{col 13}1.2774404{col 29}1.9577843
48.country{col 13}.84883999{col 29}2.0384722
49.country{col 13}-3.1534229{col 29}-.90124425
50.country{col 13}-5.5947917{col 29}-2.7640746
51.country{col 13}-.94150448{col 29}2.5532835
52.country{col 13}-.49448951{col 29}1.0938224
53.country{col 13}-.87750126{col 29}1.1274644
54.country{col 13}.32690826{col 29}1.7208371
55.country{col 13}.32856309{col 29}1.0921051
56.country{col 13}-.26880434{col 29}.96025304
57.country{col 13}-.48966913{col 29}.62326774
58.country{col 13}.3282226{col 29}1.1634966
59.country{col 13}2.8137725{col 29}3.2756693
60.country{col 13}.13592708{col 29}.99493921
61.country{col 13}-1.2242255{col 29}-.66882382
62.country{col 13}-1.428617{col 29}-.86254903
63.country{col 13}-.78408893{col 29}-.15591009
64.country{col 13}-.40120588{col 29}-.01673225
65.country{col 13}.43273256{col 29}1.3096927
66.country{col 13}1.9556109{col 29}3.2106852
67.country{col 13}-.2953381{col 29}.60644354
68.country{col 13}-3.2378244{col 29}-1.1799745
69.country{col 13}-4.123167{col 29}-1.4537364
70.country{col 13}.15572271{col 29}1.2707275
71.country{col 13}.278571{col 29}1.3263656
72.country{col 13}.23083236{col 29}1.0751761
73.country{col 13}-.23851104{col 29}.38524821
74.country{col 13}.07612285{col 29}.84568569
75.country{col 13}.12166021{col 29}.7758688
76.country{col 13}1.4753523{col 29}2.2475475
77.country{col 13}-6.7502905{col 29}-2.879305
78.country{col 13}-.05861537{col 29}1.2576367
79.country{col 13}-.47472447{col 29}-.04790905
80.country{col 13}.71863884{col 29}1.7193005
81.country{col 13}2.5063761{col 29}3.4743357
82.country{col 13}-.37723185{col 29}2.2662118
83.country{col 13}3.8254208{col 29}4.5843527
84.country{col 13}-.61952715{col 29}-.02227526
85.country{col 13}-.78107012{col 29}-.1081095
86.country{col 13}4.037922{col 29}4.5656619
87.country{col 13}.87177148{col 29}1.6485802
88.country{col 13}.44404263{col 29}1.2851415
89.country{col 13}.3472693{col 29}1.5433442
90.country{col 13}1.4486923{col 29}2.4232511
91.country{col 13}-.33018333{col 29}.51047337
92.country{col 13}-1.5418037{col 29}.19505201
93.country{col 13}-.11407292{col 29}.74493921
94.country{col 13}.22431362{col 29}1.1057538
95.country{col 13}-1.0765068{col 29}.18043509
96.country{col 13}.08675494{col 29}.92672762
97.country{col 13}-1.1349308{col 29}-.21087446
98.country{col 13}.79260776{col 29}1.8790507
99.country{col 13}1.5331865{col 29}2.3976871
100.country{col 13}-.06753396{col 29}1.2112445
101.country{col 13}1.4902785{col 29}2.4222225
102.country{col 13}.97790315{col 29}1.9477465
103.country{col 13}.58886043{col 29}1.3580695
104.country{col 13}.26643139{col 29}1.2252258
105.country{col 13}1.2223668{col 29}2.2116107
106.country{col 13}-.87886104{col 29}1.0118806
107.country{col 13}1.3974348{col 29}2.0338041
108.country{col 13}-1.0219782{col 29}.53055197
109.country{col 13}-.56548322{col 29}.2498383
110.country{col 13}2.1886212{col 29}2.8532991
111.country{col 13}5.1716517{col 29}5.700712
112.country{col 13}-6.1089488{col 29}-2.549174
113.country{col 13}.09555855{col 29}1.0893831
114.country{col 13}-.69908894{col 29}.47764367
115.country{col 13}-3.1971058{col 29}-.96127493
116.country{col 13}-.6727395{col 29}.38101708
117.country{col 13}-.25251327{col 29}1.0451259
118.country{col 13}-4.1537256{col 29}-2.1364733
119.country{col 13}-3.4393056{col 29}-.75722613
120.country{col 13}-4.4086072{col 29}-1.936097
121.country{col 13}-.56931781{col 29}.6777324
122.country{col 13}-.80597604{col 29}.15265599
123.country{col 13}.05259375{col 29}.91160587
124.country{col 13}-.424773{col 29}2.6919899
125.country{col 13}-6.002516{col 29}-3.1108605
126.country{col 13}-1.4460382{col 29}-.81248324
127.country{col 13}-.11407292{col 29}.74493921
128.country{col 13}.41434575{col 29}1.225172
129.country{col 13}-.40407545{col 29}.842557
130.country{col 13}-.23522156{col 29}.67190903
city_pop_share{col 13}30.880254{col 29}79.22117
_cons{col 13}-11.65493{col 29}-10.655712
{res}{hline 78}
{txt}
{com}. 
. **Column 3**
. plausexog uci lead_polity `ln_oworld_flexible' `ln_tropical_flexible' `ln_rugged_flexible' `ln_elevation_flexible' i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.8) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.048,0.048,0.048,0.048,0.048,0.048,0.048,0.048,0.048,0.048,0.048) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900 ln_tropical_1100 ln_tropical_1200 ln_tropical_1300 ln_tropical_1400 ln_tropical_1500 ln_tropical_1600 ln_tropical_1700 ln_tropical_1750 ln_tropical_1800 ln_tropical_1850 ln_tropical_1900 ln_rugged_1100 ln_rugged_1200 ln_rugged_1300 ln_rugged_1400 ln_rugged_1500 ln_rugged_1600 ln_rugged_1700 ln_rugged_1750 ln_rugged_1800 ln_rugged_1850 ln_rugged_1900 ln_elevation_1100 ln_elevation_1200 ln_elevation_1300 ln_elevation_1400 ln_elevation_1500 ln_elevation_1600 ln_elevation_1700 ln_elevation_1750 ln_elevation_1800 ln_elevation_1850 ln_elevation_1900 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}ln_oworld_1100{col 13}-.09456844{col 29}.29118316
ln_oworld_1200{col 13}-.09057644{col 29}.11278649
ln_oworld_1300{col 13}-.07975192{col 29}.08121074
ln_oworld_1400{col 13}-.18509562{col 29}.00305158
ln_oworld_1500{col 13}-.13719854{col 29}.01532362
ln_oworld_1600{col 13}-.20829478{col 29}-.00742289
ln_oworld_1700{col 13}-.14007344{col 29}.12228491
ln_oworld_1750{col 13}.10182112{col 29}.44928698
ln_oworld_1800{col 13}.33284805{col 29}.76584656
ln_oworld_1850{col 13}.66001327{col 29}1.1588846
ln_oworld_1900{col 13}.41038015{col 29}1.2522478
ln_tropical_1100{col 13}-.05157778{col 29}.05539376
ln_tropical_1200{col 13}-.05222446{col 29}.04662212
ln_tropical_1300{col 13}-.09474596{col 29}.02965387
ln_tropical_1400{col 13}-.03877286{col 29}.10461961
ln_tropical_1500{col 13}-.05017673{col 29}.06008824
ln_tropical_1600{col 13}-.11975659{col 29}.06683329
ln_tropical_1700{col 13}-.09058692{col 29}.06450185
ln_tropical_1750{col 13}-.28482707{col 29}-.07810189
ln_tropical_1800{col 13}-.44055437{col 29}-.17785456
ln_tropical_1850{col 13}-.53887444{col 29}-.19061548
ln_tropical_1900{col 13}-.33775406{col 29}.22106767
ln_rugged_1100{col 13}-.11995369{col 29}1.0068612
ln_rugged_1200{col 13}-.10446416{col 29}.46681618
ln_rugged_1300{col 13}-.05437259{col 29}.54038831
ln_rugged_1400{col 13}-.08363776{col 29}.79987457
ln_rugged_1500{col 13}-.12815789{col 29}.51062577
ln_rugged_1600{col 13}-.47082461{col 29}.45425692
ln_rugged_1700{col 13}-.05651155{col 29}.93448888
ln_rugged_1750{col 13}.22851188{col 29}1.4289358
ln_rugged_1800{col 13}.91882122{col 29}2.4172113
ln_rugged_1850{col 13}2.0266087{col 29}3.9543702
ln_rugged_1900{col 13}.41660674{col 29}2.6666287
ln_elevation_1100{col 13}-.61157354{col 29}.05229632
ln_elevation_1200{col 13}-.34704011{col 29}.06062581
ln_elevation_1300{col 13}-.3694023{col 29}.06346042
ln_elevation_1400{col 13}-.3191329{col 29}.20240719
ln_elevation_1500{col 13}-.47835548{col 29}.09739705
ln_elevation_1600{col 13}-.30975435{col 29}.51871617
ln_elevation_1700{col 13}-.60873378{col 29}.19614187
ln_elevation_1750{col 13}-1.0646506{col 29}-.13200277
ln_elevation_1800{col 13}-1.5927682{col 29}-.49063221
ln_elevation_1850{col 13}-3.9970131{col 29}-1.9393584
ln_elevation_1900{col 13}-2.5317162{col 29}-.11495319
1100.year{col 13}-.66237154{col 29}2.6442822
1200.year{col 13}-.31906614{col 29}1.7235678
1300.year{col 13}-.22315365{col 29}2.7087022
1400.year{col 13}-.92619623{col 29}2.3714774
1500.year{col 13}-.43034521{col 29}3.2192069
1600.year{col 13}-2.2663022{col 29}2.3309243
1700.year{col 13}-.5970523{col 29}4.1019226
1750.year{col 13}1.2025092{col 29}6.556468
1800.year{col 13}2.9209464{col 29}9.4667803
1850.year{col 13}11.697125{col 29}24.283507
1900.year{col 13}5.2749611{col 29}19.586851
2.country{col 13}-.73348539{col 29}.58887841
3.country{col 13}-1.6619693{col 29}-.87098609
4.country{col 13}-.37202419{col 29}1.3484218
5.country{col 13}.50676498{col 29}1.485589
6.country{col 13}4.7855882{col 29}6.6939121
7.country{col 13}-.54406818{col 29}1.4856
8.country{col 13}.76148679{col 29}3.4746092
9.country{col 13}-1.8502126{col 29}.60748388
10.country{col 13}-.01509813{col 29}2.6958484
11.country{col 13}.84992735{col 29}3.3715561
12.country{col 13}-.46161165{col 29}.21165752
13.country{col 13}-.56864247{col 29}.80655586
14.country{col 13}1.157926{col 29}3.653189
15.country{col 13}-.68057914{col 29}.87102928
16.country{col 13}.07600096{col 29}2.3056162
17.country{col 13}.45403866{col 29}1.6762371
18.country{col 13}-2.0572222{col 29}-.60879794
19.country{col 13}-.36294897{col 29}1.5959535
20.country{col 13}.79128993{col 29}3.2550157
21.country{col 13}-.00544667{col 29}2.0037769
22.country{col 13}-.56605523{col 29}.38905007
23.country{col 13}-.16589436{col 29}2.3058376
24.country{col 13}-.10562948{col 29}2.0264533
25.country{col 13}.25344759{col 29}2.6633406
26.country{col 13}-.71731756{col 29}.892068
27.country{col 13}.2737102{col 29}.98521312
28.country{col 13}.91859988{col 29}2.316638
29.country{col 13}.43622384{col 29}1.5905888
30.country{col 13}-3.5649248{col 29}-.1270023
31.country{col 13}.10526571{col 29}1.7903688
32.country{col 13}-.60465524{col 29}.49140547
33.country{col 13}-.5403317{col 29}1.6836229
34.country{col 13}.89007862{col 29}2.2474411
35.country{col 13}.89426368{col 29}2.6233177
36.country{col 13}1.6539631{col 29}4.1898785
37.country{col 13}2.4240415{col 29}3.2820483
38.country{col 13}-.01554654{col 29}2.3087878
39.country{col 13}-1.5423654{col 29}.93851493
40.country{col 13}1.1276426{col 29}1.9521081
41.country{col 13}-.11176037{col 29}2.2138893
42.country{col 13}.80217498{col 29}2.0654297
43.country{col 13}-.26514034{col 29}1.5483579
44.country{col 13}-.78823985{col 29}1.5888604
45.country{col 13}.05384092{col 29}1.3178979
46.country{col 13}-.14530086{col 29}1.0315737
47.country{col 13}1.3962736{col 29}2.6266071
48.country{col 13}.79148085{col 29}2.337504
49.country{col 13}-2.9275598{col 29}-.2141506
50.country{col 13}-4.9430221{col 29}-2.0427062
51.country{col 13}-.43988722{col 29}3.1208543
52.country{col 13}-.8165878{col 29}.87037509
53.country{col 13}-1.3160127{col 29}.86755533
54.country{col 13}-.23020897{col 29}1.2431
55.country{col 13}.25293749{col 29}1.5047387
56.country{col 13}-.80699525{col 29}1.3849131
57.country{col 13}-.02946553{col 29}1.8241837
58.country{col 13}-.23873615{col 29}.65449955
59.country{col 13}1.5869616{col 29}2.5462528
60.country{col 13}.1794578{col 29}2.1595832
61.country{col 13}-1.3694529{col 29}-.4991141
62.country{col 13}-1.7530132{col 29}-.78712657
63.country{col 13}-.98313424{col 29}.53525137
64.country{col 13}-.99703427{col 29}-.32348482
65.country{col 13}-.17483246{col 29}.71438851
66.country{col 13}2.202925{col 29}4.3840433
67.country{col 13}-.62265719{col 29}1.3376134
68.country{col 13}-2.2607607{col 29}-.62896933
69.country{col 13}-4.0283155{col 29}-.86095871
70.country{col 13}.04823306{col 29}1.6880217
71.country{col 13}.53750996{col 29}2.1186484
72.country{col 13}.09367278{col 29}1.561852
73.country{col 13}.74191678{col 29}2.4831263
74.country{col 13}.57223502{col 29}2.9244052
75.country{col 13}-1.1454632{col 29}.40906137
76.country{col 13}1.8780173{col 29}3.0960389
77.country{col 13}-6.4702834{col 29}-1.8879648
78.country{col 13}-.15046479{col 29}1.864507
79.country{col 13}-.77687216{col 29}.36536841
80.country{col 13}.6110811{col 29}2.1377528
81.country{col 13}1.7102138{col 29}2.7290843
82.country{col 13}.69428659{col 29}2.9019309
83.country{col 13}2.8029513{col 29}3.6675253
84.country{col 13}.71113429{col 29}2.0739811
85.country{col 13}-.24779896{col 29}1.2627377
86.country{col 13}3.2898369{col 29}4.1265742
87.country{col 13}.83602446{col 29}1.9333341
88.country{col 13}-.23584272{col 29}.95954213
89.country{col 13}.34269461{col 29}1.7834635
90.country{col 13}.76397449{col 29}2.1260372
91.country{col 13}-.82945334{col 29}.78560143
92.country{col 13}-1.6265192{col 29}.03191691
93.country{col 13}-.91643343{col 29}1.461561
94.country{col 13}-.73021747{col 29}.54699392
95.country{col 13}-2.0337742{col 29}-.47814586
96.country{col 13}.31863167{col 29}1.2616211
97.country{col 13}-.28390476{col 29}.69877408
98.country{col 13}.14773339{col 29}2.5608541
99.country{col 13}.61825777{col 29}1.849973
100.country{col 13}-.34071424{col 29}1.6621794
101.country{col 13}.43199767{col 29}1.9206007
102.country{col 13}-.18274091{col 29}1.2577453
103.country{col 13}.18535361{col 29}1.747546
104.country{col 13}-.20814966{col 29}1.5161921
105.country{col 13}1.0680236{col 29}2.240851
106.country{col 13}-.83917171{col 29}1.1824305
107.country{col 13}1.1599156{col 29}2.5132518
108.country{col 13}-.62712219{col 29}1.3771614
109.country{col 13}-1.3098602{col 29}-.09727091
110.country{col 13}1.6495831{col 29}2.7869636
111.country{col 13}4.3897729{col 29}5.0511202
112.country{col 13}-5.0852035{col 29}-1.2257158
113.country{col 13}-.52416003{col 29}.45370286
114.country{col 13}-.12815935{col 29}1.7131933
115.country{col 13}-2.8408057{col 29}.06557794
116.country{col 13}-1.0735185{col 29}.28228761
117.country{col 13}-.08161359{col 29}2.0918083
118.country{col 13}-3.753234{col 29}-1.8521548
119.country{col 13}-3.4277373{col 29}-.28707432
120.country{col 13}-2.9068353{col 29}-.54373265
121.country{col 13}-.09118618{col 29}1.5133255
122.country{col 13}-1.6048855{col 29}.0396062
123.country{col 13}-.54385758{col 29}1.1022755
124.country{col 13}-.00551113{col 29}3.0466859
125.country{col 13}-5.1185049{col 29}-2.1424065
126.country{col 13}-1.9616643{col 29}-.85221178
127.country{col 13}.52516379{col 29}2.5347964
128.country{col 13}.55543911{col 29}1.4566664
129.country{col 13}.19689753{col 29}2.1677199
130.country{col 13}.04762044{col 29}1.4853691
city_pop_share{col 13}10.262763{col 29}69.496531
_cons{col 13}-11.858371{col 29}-10.354161
{res}{hline 78}
{txt}
{com}. 
. ********************************************************
. *  30% of the reduced-form estimated effect at 95% CI  *
. ********************************************************
. 
. **Column 1**
. plausexog uci lead_polity i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.9) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}1100.year{col 13}-1.4450432{col 29}.72805744
1200.year{col 13}-1.2158949{col 29}.49164097
1300.year{col 13}-.66458575{col 29}1.1016711
1400.year{col 13}-1.5139608{col 29}.46170344
1500.year{col 13}-1.2514282{col 29}.37483472
1600.year{col 13}-1.5745543{col 29}.46123996
1700.year{col 13}-1.03934{col 29}.91425937
1750.year{col 13}-.03960903{col 29}2.1072683
1800.year{col 13}.81417575{col 29}3.1712974
1850.year{col 13}3.01767{col 29}5.7982137
1900.year{col 13}6.3761927{col 29}9.8414914
2.country{col 13}.6707263{col 29}1.9633002
3.country{col 13}-3.0934032{col 29}-1.5150717
4.country{col 13}-.50564167{col 29}.92722636
5.country{col 13}.69500249{col 29}1.9760672
6.country{col 13}3.1208153{col 29}4.6607131
7.country{col 13}-1.4802461{col 29}1.3273563
8.country{col 13}2.4074272{col 29}3.7517344
9.country{col 13}-1.1493249{col 29}.37634935
10.country{col 13}-2.9010001{col 29}1.4262905
11.country{col 13}.92483519{col 29}2.4182267
12.country{col 13}-.41716252{col 29}.99824966
13.country{col 13}.59431928{col 29}1.9841678
14.country{col 13}1.0915019{col 29}2.5848934
15.country{col 13}.55491319{col 29}1.965715
16.country{col 13}.17483519{col 29}1.6682267
17.country{col 13}.17764535{col 29}1.4380398
18.country{col 13}-2.6605421{col 29}-1.042344
19.country{col 13}-.0217929{col 29}1.2420926
20.country{col 13}.84150185{col 29}2.3348934
21.country{col 13}.25816852{col 29}1.75156
22.country{col 13}-.89697496{col 29}.19623503
23.country{col 13}-.40849815{col 29}1.0848934
24.country{col 13}.09881085{col 29}1.4390582
25.country{col 13}.75816852{col 29}2.25156
26.country{col 13}.64831617{col 29}1.9116395
27.country{col 13}.19658555{col 29}1.194027
28.country{col 13}-.09087239{col 29}2.3487887
29.country{col 13}.59150185{col 29}2.0848934
30.country{col 13}-6.6256513{col 29}-2.4184451
31.country{col 13}.00816852{col 29}1.50156
32.country{col 13}.00816852{col 29}1.50156
33.country{col 13}.16668439{col 29}1.1104787
34.country{col 13}.8199926{col 29}2.1374555
35.country{col 13}.84150185{col 29}2.3348934
36.country{col 13}2.9412142{col 29}4.4852601
37.country{col 13}1.9361014{col 29}4.0288644
38.country{col 13}.09150185{col 29}1.5848934
39.country{col 13}.00816852{col 29}1.50156
40.country{col 13}.53904424{col 29}2.369642
41.country{col 13}.51055705{col 29}1.8841605
42.country{col 13}.89560469{col 29}2.7646711
43.country{col 13}.34150185{col 29}1.8348934
44.country{col 13}.84150185{col 29}2.3348934
45.country{col 13}.33817617{col 29}1.2637617
46.country{col 13}-.40849815{col 29}1.0848934
47.country{col 13}1.6654757{col 29}2.0892879
48.country{col 13}1.4592964{col 29}2.5103951
49.country{col 13}-4.6638074{col 29}-1.3604918
50.country{col 13}-7.5773099{col 29}-3.301841
51.country{col 13}-3.3759118{col 29}1.8609617
52.country{col 13}-1.5776264{col 29}.70354233
53.country{col 13}-2.4138574{col 29}.98590588
54.country{col 13}-.75511136{col 29}1.7064519
55.country{col 13}.24950419{col 29}1.6649163
56.country{col 13}.17483519{col 29}1.6682267
57.country{col 13}-.24194471{col 29}1.2341403
58.country{col 13}-.31113003{col 29}1.1491232
59.country{col 13}2.5480193{col 29}3.34305
60.country{col 13}-.15849815{col 29}1.3348934
61.country{col 13}-1.5226976{col 29}-.72205498
62.country{col 13}-1.1916077{col 29}-.74026683
63.country{col 13}-1.1628208{col 29}-.05364053
64.country{col 13}-.41958399{col 29}-.31102453
65.country{col 13}.45127153{col 29}1.7787674
66.country{col 13}2.4248352{col 29}3.9182267
67.country{col 13}-.09856258{col 29}1.167589
68.country{col 13}-4.7796327{col 29}-1.414156
69.country{col 13}-5.9687349{col 29}-2.0832529
70.country{col 13}.53936126{col 29}1.83431
71.country{col 13}.51942122{col 29}1.9197451
72.country{col 13}.45549576{col 29}1.6242928
73.country{col 13}.11905119{col 29}.50956758
74.country{col 13}-.07516481{col 29}1.4182267
75.country{col 13}.14074035{col 29}1.0726598
76.country{col 13}1.3415019{col 29}2.8348934
77.country{col 13}-9.514718{col 29}-3.5912906
78.country{col 13}.53202788{col 29}1.8612417
79.country{col 13}-.60453889{col 29}.14968292
80.country{col 13}.92483519{col 29}2.4182267
81.country{col 13}2.7969311{col 29}4.0988342
82.country{col 13}-2.237221{col 29}1.7143828
83.country{col 13}3.2671821{col 29}4.6556068
84.country{col 13}-.94277169{col 29}-.14047936
85.country{col 13}-.29799313{col 29}-.10723705
86.country{col 13}3.9358753{col 29}4.7096055
87.country{col 13}.64074851{col 29}1.5904051
88.country{col 13}.66789233{col 29}1.7618497
89.country{col 13}.75816852{col 29}2.25156
90.country{col 13}1.9324375{col 29}2.8204657
91.country{col 13}-.31340965{col 29}.67415166
92.country{col 13}-2.8383022{col 29}-.01027061
93.country{col 13}-.40849815{col 29}1.0848934
94.country{col 13}.30099813{col 29}1.4274104
95.country{col 13}-.91194303{col 29}.52602974
96.country{col 13}.09150185{col 29}1.5848934
97.country{col 13}-1.2013418{col 29}-.80080943
98.country{col 13}1.0915019{col 29}2.5848934
99.country{col 13}1.6013692{col 29}2.7872895
100.country{col 13}.42483519{col 29}1.9182267
101.country{col 13}1.6040741{col 29}2.9241367
102.country{col 13}1.0832225{col 29}2.4991721
103.country{col 13}.42483519{col 29}1.9182267
104.country{col 13}.42483519{col 29}1.9182267
105.country{col 13}1.3484009{col 29}2.6923694
106.country{col 13}-2.2929559{col 29}.80328708
107.country{col 13}1.6795872{col 29}2.316752
108.country{col 13}-.22628657{col 29}1.1667867
109.country{col 13}-.49022151{col 29}.77037295
110.country{col 13}2.1691204{col 29}3.0032209
111.country{col 13}5.0819695{col 29}5.8664787
112.country{col 13}-8.5979434{col 29}-3.2907934
113.country{col 13}.4019979{col 29}1.7253332
114.country{col 13}-.40302706{col 29}1.0692819
115.country{col 13}-4.6741951{col 29}-1.1100104
116.country{col 13}-.40849815{col 29}1.0848934
117.country{col 13}.25816852{col 29}1.75156
118.country{col 13}-5.5881068{col 29}-2.533002
119.country{col 13}-5.4412029{col 29}-1.0646151
120.country{col 13}-5.8340158{col 29}-2.8425547
121.country{col 13}.02152891{col 29}1.2940788
122.country{col 13}-.71753194{col 29}.39314072
123.country{col 13}-.24183148{col 29}1.25156
124.country{col 13}-2.7185339{col 29}2.2482834
125.country{col 13}-7.936072{col 29}-3.587753
126.country{col 13}-1.1170248{col 29}-.70012084
127.country{col 13}-.40849815{col 29}1.0848934
128.country{col 13}.13346886{col 29}1.4423207
129.country{col 13}-.02533132{col 29}1.47807
130.country{col 13}-.05342265{col 29}1.2270515
city_pop_share{col 13}42.276571{col 29}111.79617
_cons{col 13}-12.241989{col 29}-10.793294
{res}{hline 78}
{txt}
{com}. 
. **Column 2**
. plausexog uci lead_polity `ln_oworld_flexible' i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.9) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.138,0.138,0.138,0.138,0.138,0.138,0.138,0.138,0.138,0.138,0.138) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}ln_oworld_1100{col 13}-.24435502{col 29}.40596545
ln_oworld_1200{col 13}-.19469131{col 29}.14327616
ln_oworld_1300{col 13}-.19925372{col 29}.04871531
ln_oworld_1400{col 13}-.29949239{col 29}-.00512649
ln_oworld_1500{col 13}-.24939714{col 29}.00187256
ln_oworld_1600{col 13}-.40050011{col 29}-.00826446
ln_oworld_1700{col 13}-.27476605{col 29}.06426173
ln_oworld_1750{col 13}-.1525512{col 29}.25582478
ln_oworld_1800{col 13}-.05896467{col 29}.44440535
ln_oworld_1850{col 13}.11505114{col 29}.75322541
ln_oworld_1900{col 13}.17217643{col 29}.96891073
1100.year{col 13}-3.3984181{col 29}1.6570107
1200.year{col 13}-1.2889775{col 29}1.0280515
1300.year{col 13}-.20550246{col 29}1.5023896
1400.year{col 13}-.20048428{col 29}1.5016404
1500.year{col 13}-.19352053{col 29}1.174293
1600.year{col 13}.04678087{col 29}1.8831011
1700.year{col 13}-.0637403{col 29}1.8062801
1750.year{col 13}-.2455992{col 29}1.9250694
1800.year{col 13}-.58729197{col 29}2.1483498
1850.year{col 13}-.44211991{col 29}3.305763
1900.year{col 13}2.3712411{col 29}7.5790846
2.country{col 13}.30186384{col 29}1.5306899
3.country{col 13}-2.6152925{col 29}-1.339119
4.country{col 13}-1.0663403{col 29}.49212525
5.country{col 13}.45883081{col 29}1.5896739
6.country{col 13}3.3177461{col 29}4.515313
7.country{col 13}-.59688701{col 29}1.792565
8.country{col 13}1.7128768{col 29}3.4565878
9.country{col 13}-1.5854495{col 29}-.05357606
10.country{col 13}-1.4642937{col 29}2.4425675
11.country{col 13}.15363242{col 29}2.0776467
12.country{col 13}-.37774949{col 29}.64316278
13.country{col 13}.21955458{col 29}1.5544637
14.country{col 13}.54019058{col 29}2.1776674
15.country{col 13}.14669649{col 29}1.5423386
16.country{col 13}-.49295596{col 29}1.2948597
17.country{col 13}-.12847963{col 29}1.0102612
18.country{col 13}-2.2508803{col 29}-.78047553
19.country{col 13}-.92686799{col 29}.92822191
20.country{col 13}-.21168911{col 29}2.0920182
21.country{col 13}-.55835775{col 29}1.425973
22.country{col 13}-1.2618205{col 29}.09550212
23.country{col 13}-1.1943675{col 29}.74912795
24.country{col 13}-.82502154{col 29}1.0998243
25.country{col 13}-.2074168{col 29}1.9773356
26.country{col 13}.28470335{col 29}1.5198329
27.country{col 13}.28849511{col 29}1.122382
28.country{col 13}.64848492{col 29}2.6926759
29.country{col 13}.72694737{col 29}1.8723967
30.country{col 13}-5.2090527{col 29}-.85392908
31.country{col 13}-.36042471{col 29}1.0513056
32.country{col 13}-.07836524{col 29}1.0353449
33.country{col 13}-.01725152{col 29}.89615746
34.country{col 13}.38141797{col 29}1.7469594
35.country{col 13}.97694737{col 29}2.1223967
36.country{col 13}2.5025655{col 29}4.0532113
37.country{col 13}2.4375731{col 29}3.9552586
38.country{col 13}-.73601667{col 29}1.2629918
39.country{col 13}-.23849646{col 29}1.0336628
40.country{col 13}.93321101{col 29}2.2731431
41.country{col 13}-.35486408{col 29}1.6334203
42.country{col 13}1.450039{col 29}2.8970226
43.country{col 13}-.46026677{col 29}1.5043878
44.country{col 13}.44350493{col 29}1.8904552
45.country{col 13}.34659654{col 29}1.1830279
46.country{col 13}-.27305263{col 29}.87239675
47.country{col 13}1.1868178{col 29}2.0878688
48.country{col 13}.72939739{col 29}2.3713541
49.country{col 13}-3.5308977{col 29}-.48333276
50.country{col 13}-6.1198117{col 29}-2.2829385
51.country{col 13}-1.5896429{col 29}3.1470643
52.country{col 13}-.84325442{col 29}1.3224721
53.country{col 13}-1.3324908{col 29}1.40727
54.country{col 13}-.02614892{col 29}1.8923752
55.country{col 13}.20525894{col 29}1.2372808
56.country{col 13}-.41760352{col 29}1.2725141
57.country{col 13}-.74018984{col 29}.75961482
58.country{col 13}.07961309{col 29}1.2443632
59.country{col 13}2.6470094{col 29}3.3011585
60.country{col 13}-.02305263{col 29}1.1223967
61.country{col 13}-1.2769086{col 29}-.52122928
62.country{col 13}-1.4616653{col 29}-.66305998
63.country{col 13}-1.0023257{col 29}-.11615288
64.country{col 13}-.50446761{col 29}.01996495
65.country{col 13}.1947742{col 29}1.3909433
66.country{col 13}1.8046627{col 29}3.5305634
67.country{col 13}-.48139522{col 29}.73696454
68.country{col 13}-3.7126411{col 29}-.89684006
69.country{col 13}-4.6595856{col 29}-1.0355194
70.country{col 13}-.05802683{col 29}1.4397115
71.country{col 13}.04787161{col 29}1.4603708
72.country{col 13}.13335937{col 29}1.3001054
73.country{col 13}-.2785797{col 29}.59950482
74.country{col 13}-.0399862{col 29}.99750018
75.country{col 13}-.06872565{col 29}.82974957
76.country{col 13}1.3597689{col 29}2.4024475
77.country{col 13}-7.5188926{col 29}-2.2639552
78.country{col 13}-.27626473{col 29}1.4920899
79.country{col 13}-.55753493{col 29}.00557578
80.country{col 13}.58829824{col 29}1.9622479
81.country{col 13}2.3682402{col 29}3.6874962
82.country{col 13}-.90836291{col 29}2.6810533
83.country{col 13}3.6370987{col 29}4.67512
84.country{col 13}-.68884668{col 29}.11639001
85.country{col 13}-.85253835{col 29}.04841398
86.country{col 13}3.8517425{col 29}4.5964205
87.country{col 13}.71077016{col 29}1.7429634
88.country{col 13}.26968868{col 29}1.4032616
89.country{col 13}.20118376{col 29}1.8458903
90.country{col 13}1.3570239{col 29}2.7068024
91.country{col 13}-.58644029{col 29}.57521754
92.country{col 13}-1.9498781{col 29}.42969921
93.country{col 13}-.27305263{col 29}.87239675
94.country{col 13}-.02239186{col 29}1.1822095
95.country{col 13}-1.4161469{col 29}.29435699
96.country{col 13}-.03156874{col 29}1.1142026
97.country{col 13}-1.3323103{col 29}-.10442072
98.country{col 13}.65543896{col 29}2.1486996
99.country{col 13}1.2928147{col 29}2.4732841
100.country{col 13}-.22044626{col 29}1.5380307
101.country{col 13}1.2500007{col 29}2.5147966
102.country{col 13}.73216684{col 29}2.0479235
103.country{col 13}.47176861{col 29}1.5074699
104.country{col 13}.13935337{col 29}1.4546522
105.country{col 13}.96261335{col 29}2.3041463
106.country{col 13}-1.2701482{col 29}1.3007805
107.country{col 13}1.3491238{col 29}2.2394304
108.country{col 13}-1.1921051{col 29}.94231906
109.country{col 13}-.75021223{col 29}.3528955
110.country{col 13}1.9770356{col 29}2.9009222
111.country{col 13}4.9842082{col 29}5.731089
112.country{col 13}-6.7934665{col 29}-1.9653101
113.country{col 13}-.04917271{col 29}1.3037053
114.country{col 13}-.95501955{col 29}.62532553
115.country{col 13}-3.497326{col 29}-.47386622
116.country{col 13}-.80728767{col 29}.64061894
117.country{col 13}-.40699222{col 29}1.3773887
118.country{col 13}-4.5774255{col 29}-1.832603
119.country{col 13}-3.9885589{col 29}-.34343722
120.country{col 13}-4.8587641{col 29}-1.5197467
121.country{col 13}-.74552099{col 29}.94620343
122.country{col 13}-1.0764776{col 29}.23502583
123.country{col 13}-.10638596{col 29}1.0390634
124.country{col 13}-1.0753168{col 29}3.1647264
125.country{col 13}-6.4516745{col 29}-2.5396395
126.country{col 13}-1.4861544{col 29}-.59722497
127.country{col 13}-.27305263{col 29}.87239675
128.country{col 13}.26098343{col 29}1.3382425
129.country{col 13}-.65667465{col 29}1.0166142
130.country{col 13}-.42994098{col 29}.79510287
city_pop_share{col 13}22.587887{col 29}88.06392
_cons{col 13}-11.83476{col 29}-10.504019
{res}{hline 78}
{txt}
{com}. 
. **Column 3**
. plausexog uci lead_polity `ln_oworld_flexible' `ln_tropical_flexible' `ln_rugged_flexible' `ln_elevation_flexible' i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.9) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.072,0.072,0.072,0.072,0.072,0.072,0.072,0.072,0.072,0.072,0.072) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900 ln_tropical_1100 ln_tropical_1200 ln_tropical_1300 ln_tropical_1400 ln_tropical_1500 ln_tropical_1600 ln_tropical_1700 ln_tropical_1750 ln_tropical_1800 ln_tropical_1850 ln_tropical_1900 ln_rugged_1100 ln_rugged_1200 ln_rugged_1300 ln_rugged_1400 ln_rugged_1500 ln_rugged_1600 ln_rugged_1700 ln_rugged_1750 ln_rugged_1800 ln_rugged_1850 ln_rugged_1900 ln_elevation_1100 ln_elevation_1200 ln_elevation_1300 ln_elevation_1400 ln_elevation_1500 ln_elevation_1600 ln_elevation_1700 ln_elevation_1750 ln_elevation_1800 ln_elevation_1850 ln_elevation_1900 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}ln_oworld_1100{col 13}-.1700417{col 29}.35124324
ln_oworld_1200{col 13}-.13951955{col 29}.13963468
ln_oworld_1300{col 13}-.12189214{col 29}.10198253
ln_oworld_1400{col 13}-.23470604{col 29}.02195831
ln_oworld_1500{col 13}-.1801027{col 29}.03192239
ln_oworld_1600{col 13}-.25980159{col 29}.0118628
ln_oworld_1700{col 13}-.19770598{col 29}.15389657
ln_oworld_1750{col 13}.03339374{col 29}.49408562
ln_oworld_1800{col 13}.25210746{col 29}.82343552
ln_oworld_1850{col 13}.57108185{col 29}1.2262238
ln_oworld_1900{col 13}.27320903{col 29}1.3712409
ln_tropical_1100{col 13}-.0662652{col 29}.08055247
ln_tropical_1200{col 13}-.06556813{col 29}.07008659
ln_tropical_1300{col 13}-.11382767{col 29}.05327258
ln_tropical_1400{col 13}-.05907293{col 29}.13720798
ln_tropical_1500{col 13}-.06604827{col 29}.08555254
ln_tropical_1600{col 13}-.14943334{col 29}.10377962
ln_tropical_1700{col 13}-.10934185{col 29}.09716356
ln_tropical_1750{col 13}-.31153913{col 29}-.03970459
ln_tropical_1800{col 13}-.47642938{col 29}-.13233621
ln_tropical_1850{col 13}-.58718109{col 29}-.13375898
ln_tropical_1900{col 13}-.42070916{col 29}.31065911
ln_rugged_1100{col 13}-.28317561{col 29}1.1998041
ln_rugged_1200{col 13}-.20435268{col 29}.56082809
ln_rugged_1300{col 13}-.13872016{col 29}.64630898
ln_rugged_1400{col 13}-.20382023{col 29}.95619531
ln_rugged_1500{col 13}-.23605485{col 29}.6232475
ln_rugged_1600{col 13}-.64161678{col 29}.60544748
ln_rugged_1700{col 13}-.1923054{col 29}1.1005465
ln_rugged_1750{col 13}.05822504{col 29}1.6141673
ln_rugged_1800{col 13}.70482848{col 29}2.6400632
ln_rugged_1850{col 13}1.7473061{col 29}4.2353162
ln_rugged_1900{col 13}.08384237{col 29}2.9954155
ln_elevation_1100{col 13}-.72450978{col 29}.14130307
ln_elevation_1200{col 13}-.41547424{col 29}.12704964
ln_elevation_1300{col 13}-.44808122{col 29}.13560732
ln_elevation_1400{col 13}-.40957105{col 29}.29646359
ln_elevation_1500{col 13}-.58165797{col 29}.19084571
ln_elevation_1600{col 13}-.44248637{col 29}.67368314
ln_elevation_1700{col 13}-.71713341{col 29}.33321884
ln_elevation_1750{col 13}-1.2000543{col 29}.01736445
ln_elevation_1800{col 13}-1.7577207{col 29}-.32247462
ln_elevation_1850{col 13}-4.2962594{col 29}-1.6353358
ln_elevation_1900{col 13}-2.896103{col 29}.27052279
1100.year{col 13}-1.1892575{col 29}3.2453439
1200.year{col 13}-.6422611{col 29}2.0912813
1300.year{col 13}-.62598515{col 29}3.252404
1400.year{col 13}-1.4775328{col 29}2.9815758
1500.year{col 13}-.93227599{col 29}3.8966819
1600.year{col 13}-3.0786209{col 29}3.1310904
1700.year{col 13}-1.37272{col 29}4.7520792
1750.year{col 13}.36777794{col 29}7.3291342
1800.year{col 13}1.9415005{col 29}10.438136
1850.year{col 13}9.86189{col 29}26.10026
1900.year{col 13}3.0123498{col 29}21.760026
2.country{col 13}-.9597761{col 29}.78514464
3.country{col 13}-1.8254592{col 29}-.77824282
4.country{col 13}-.71602082{col 29}1.5636743
5.country{col 13}.30459769{col 29}1.6050294
6.country{col 13}4.3798132{col 29}6.9099662
7.country{col 13}-.9056045{col 29}1.7859069
8.country{col 13}.37078877{col 29}3.9457347
9.country{col 13}-2.2881106{col 29}.95440286
10.country{col 13}-.48423733{col 29}3.1096048
11.country{col 13}.48566991{col 29}3.7982108
12.country{col 13}-.58031354{col 29}.30250477
13.country{col 13}-.82330442{col 29}.99437167
14.country{col 13}.80595303{col 29}4.0955878
15.country{col 13}-.96283773{col 29}1.0872204
16.country{col 13}-.24912183{col 29}2.6795621
17.country{col 13}.19700201{col 29}1.8228991
18.country{col 13}-2.2883747{col 29}-.39800174
19.country{col 13}-.66949277{col 29}1.9011306
20.country{col 13}.44817897{col 29}3.6825894
21.country{col 13}-.29120306{col 29}2.3506767
22.country{col 13}-.80387649{col 29}.48272131
23.country{col 13}-.51951278{col 29}2.7209777
24.country{col 13}-.46217372{col 29}2.3359679
25.country{col 13}-.08875616{col 29}3.0819408
26.country{col 13}-1.0025882{col 29}1.1233619
27.country{col 13}.11880397{col 29}1.06458
28.country{col 13}.64006758{col 29}2.488146
29.country{col 13}.22741631{col 29}1.7478055
30.country{col 13}-4.1159504{col 29}.42983131
31.country{col 13}-.15097095{col 29}2.0624983
32.country{col 13}-.77468639{col 29}.67783736
33.country{col 13}-.93285435{col 29}2.0008
34.country{col 13}.59392519{col 29}2.4013642
35.country{col 13}.55158172{col 29}2.8387321
36.country{col 13}1.2131576{col 29}4.562553
37.country{col 13}2.2429209{col 29}3.3829038
38.country{col 13}-.34797154{col 29}2.7049269
39.country{col 13}-1.9148981{col 29}1.3504262
40.country{col 13}.95474629{col 29}2.0469017
41.country{col 13}-.44207236{col 29}2.6180327
42.country{col 13}.56876981{col 29}2.2333804
43.country{col 13}-.5210188{col 29}1.8660369
44.country{col 13}-1.1362509{col 29}1.9921398
45.country{col 13}-.17819108{col 29}1.4892177
46.country{col 13}-.36343646{col 29}1.1896821
47.country{col 13}1.1738445{col 29}2.7940421
48.country{col 13}.5914711{col 29}2.6150445
49.country{col 13}-3.3350641{col 29}.25195966
50.country{col 13}-5.4015548{col 29}-1.5649068
51.country{col 13}-1.0039272{col 29}3.7039985
52.country{col 13}-1.1179935{col 29}1.1135528
53.country{col 13}-1.6978737{col 29}1.1947049
54.country{col 13}-.51459111{col 29}1.4389094
55.country{col 13}.04362765{col 29}1.6964391
56.country{col 13}-1.1269375{col 29}1.7807625
57.country{col 13}-.40209894{col 29}2.0556642
58.country{col 13}-.42747826{col 29}.75853105
59.country{col 13}1.4131832{col 29}2.6771459
60.country{col 13}-.16410579{col 29}2.4444336
61.country{col 13}-1.4844686{col 29}-.3325763
62.country{col 13}-1.9014683{col 29}-.62271959
63.country{col 13}-1.2633157{col 29}.73906907
64.country{col 13}-1.1277563{col 29}-.24274616
65.country{col 13}-.3582936{col 29}.82079773
66.country{col 13}1.8825122{col 29}4.7492563
67.country{col 13}-.9570047{col 29}1.6297345
68.country{col 13}-2.5758592{col 29}-.41222908
69.country{col 13}-4.5528617{col 29}-.35806787
70.country{col 13}-.26002095{col 29}1.9086948
71.country{col 13}.22177621{col 29}2.3178069
72.country{col 13}-.12057638{col 29}1.8011636
73.country{col 13}.51711294{col 29}2.7801131
74.country{col 13}.20314038{col 29}3.2932104
75.country{col 13}-1.419517{col 29}.6325767
76.country{col 13}1.6828925{col 29}3.2858544
77.country{col 13}-7.2167149{col 29}-1.1484302
78.country{col 13}-.49286435{col 29}2.157228
79.country{col 13}-1.0120235{col 29}.50284929
80.country{col 13}.38512734{col 29}2.4085812
81.country{col 13}1.5652365{col 29}2.9194172
82.country{col 13}.29781369{col 29}3.2010734
83.country{col 13}2.6451849{col 29}3.7800556
84.country{col 13}.47518949{col 29}2.2742308
85.country{col 13}-.49206528{col 29}1.4879117
86.country{col 13}3.1139427{col 29}4.2267427
87.country{col 13}.62950618{col 29}2.0767439
88.country{col 13}-.44370932{col 29}1.1358619
89.country{col 13}.13727497{col 29}2.0266613
90.country{col 13}.59798621{col 29}2.3819515
91.country{col 13}-1.1291793{col 29}1.0031979
92.country{col 13}-1.9327678{col 29}.26876875
93.country{col 13}-1.3182198{col 29}1.8154373
94.country{col 13}-.96558667{col 29}.72133356
95.country{col 13}-2.3198597{col 29}-.26723478
96.country{col 13}.15146158{col 29}1.3946972
97.country{col 13}-.48918045{col 29}.81498923
98.country{col 13}-.21424714{col 29}2.9606408
99.country{col 13}.38728587{col 29}2.0158542
100.country{col 13}-.63193327{col 29}2.0061215
101.country{col 13}.15935216{col 29}2.1272384
102.country{col 13}-.44796006{col 29}1.4557732
103.country{col 13}-.09780885{col 29}1.9654891
104.country{col 13}-.46996673{col 29}1.8157333
105.country{col 13}.81769703{col 29}2.3785758
106.country{col 13}-1.1745106{col 29}1.5030113
107.country{col 13}.98523389{col 29}2.7543287
108.country{col 13}-.90352768{col 29}1.7317279
109.country{col 13}-1.5387857{col 29}.06453401
110.country{col 13}1.4307722{col 29}2.9354518
111.country{col 13}4.2502312{col 29}5.1264035
112.country{col 13}-5.7105019{col 29}-.59951925
113.country{col 13}-.66547871{col 29}.63356347
114.country{col 13}-.49789128{col 29}1.9424388
115.country{col 13}-3.2850721{col 29}.54988274
116.country{col 13}-1.2706282{col 29}.51413727
117.country{col 13}-.39904911{col 29}2.4604058
118.country{col 13}-4.0835683{col 29}-1.564469
119.country{col 13}-3.942742{col 29}.21693236
120.country{col 13}-3.3075025{col 29}-.18603259
121.country{col 13}-.34441719{col 29}1.7610624
122.country{col 13}-1.9041948{col 29}.2659794
123.country{col 13}-.8305347{col 29}1.337949
124.country{col 13}-.52326192{col 29}3.5209972
125.country{col 13}-5.5445168{col 29}-1.6119648
126.country{col 13}-2.1238657{col 29}-.65135179
127.country{col 13}.17884936{col 29}2.8228729
128.country{col 13}.37711727{col 29}1.5679687
129.country{col 13}-.17001198{col 29}2.4311956
130.country{col 13}-.24150018{col 29}1.6656419
city_pop_share{col 13}.45210947{col 29}78.854298
_cons{col 13}-12.089029{col 29}-10.107862
{res}{hline 78}
{txt}
{com}. 
. ********************************************************
. *  30% of the reduced-form estimated effect at 90% CI  *
. ********************************************************
. 
. **Column 1**
. plausexog uci lead_polity i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.8) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}1100.year{col 13}-1.2639516{col 29}.55359999
1200.year{col 13}-1.0875672{col 29}.36719204
1300.year{col 13}-.5448221{col 29}.96915399
1400.year{col 13}-1.3569137{col 29}.3079372
1500.year{col 13}-1.132798{col 29}.25976071
1600.year{col 13}-1.4107903{col 29}.30128538
1700.year{col 13}-.88551149{col 29}.76128762
1750.year{col 13}.13413384{col 29}1.9320104
1800.year{col 13}1.0098572{col 29}2.9773521
1850.year{col 13}3.2600217{col 29}5.5518594
1900.year{col 13}6.685705{col 29}9.5346769
2.country{col 13}.75393159{col 29}1.868715
3.country{col 13}-2.998299{col 29}-1.5964017
4.country{col 13}-.42812881{col 29}.84660016
5.country{col 13}.77748854{col 29}1.87972
6.country{col 13}3.1799078{col 29}4.6101791
7.country{col 13}-1.2997476{col 29}1.1729997
8.country{col 13}2.4788917{col 29}3.6681667
9.country{col 13}-1.0862086{col 29}.31245964
10.country{col 13}-2.5908359{col 29}1.1646752
11.country{col 13}1.0064716{col 29}2.3227643
12.country{col 13}-.33552615{col 29}.90278729
13.country{col 13}.67046259{col 29}1.9049662
14.country{col 13}1.1731382{col 29}2.489431
15.country{col 13}.62239178{col 29}1.8974096
16.country{col 13}.25647155{col 29}1.5727643
17.country{col 13}.25867104{col 29}1.3416926
18.country{col 13}-2.5383682{col 29}-1.1469411
19.country{col 13}.05880479{col 29}1.1451136
20.country{col 13}.92313822{col 29}2.239431
21.country{col 13}.33980488{col 29}1.6560977
22.country{col 13}-.89553163{col 29}.19477402
23.country{col 13}-.32686178{col 29}.98943098
24.country{col 13}.18234565{col 29}1.3447432
25.country{col 13}.83980488{col 29}2.1560977
26.country{col 13}.71694038{col 29}1.840259
27.country{col 13}.22609154{col 29}1.166667
28.country{col 13}.05704791{col 29}2.222292
29.country{col 13}.67313822{col 29}1.989431
30.country{col 13}-6.3027318{col 29}-2.6868184
31.country{col 13}.08980488{col 29}1.4060977
32.country{col 13}.08980488{col 29}1.4060977
33.country{col 13}.20055164{col 29}1.0761965
34.country{col 13}.87958332{col 29}2.0771346
35.country{col 13}.92313822{col 29}2.239431
36.country{col 13}3.0162981{col 29}4.399651
37.country{col 13}2.0404713{col 29}3.9396106
38.country{col 13}.17313822{col 29}1.489431
39.country{col 13}.08980488{col 29}1.4060977
40.country{col 13}.62292732{col 29}2.2979079
41.country{col 13}.58402034{col 29}1.7982554
42.country{col 13}1.0054924{col 29}2.6706987
43.country{col 13}.42313822{col 29}1.739431
44.country{col 13}.92313822{col 29}2.239431
45.country{col 13}.35904481{col 29}1.2426374
46.country{col 13}-.32686178{col 29}.98943098
47.country{col 13}1.6739019{col 29}2.0807584
48.country{col 13}1.5107553{col 29}2.4502209
49.country{col 13}-4.4110449{col 29}-1.5705587
50.country{col 13}-7.2556524{col 29}-3.5690097
51.country{col 13}-2.981362{col 29}1.5332488
52.country{col 13}-1.4171995{col 29}.56738219
53.country{col 13}-2.1944071{col 29}.79823897
54.country{col 13}-.61097289{col 29}1.5831893
55.country{col 13}.33114055{col 29}1.569454
56.country{col 13}.25647155{col 29}1.5727643
57.country{col 13}-.15673876{col 29}1.1411837
58.country{col 13}-.23737371{col 29}1.0860492
59.country{col 13}2.5711906{col 29}3.3215639
60.country{col 13}-.07686178{col 29}1.239431
61.country{col 13}-1.4753838{col 29}-.76754182
62.country{col 13}-1.1821401{col 29}-.74961984
63.country{col 13}-1.1255036{col 29}-.08587263
64.country{col 13}-.41266529{col 29}-.31694118
65.country{col 13}.53480633{col 29}1.6844523
66.country{col 13}2.5064716{col 29}3.8227643
67.country{col 13}-.01680298{col 29}1.0712418
68.country{col 13}-4.5619904{col 29}-1.6002767
69.country{col 13}-5.6803141{col 29}-2.3244631
70.country{col 13}.61695643{col 29}1.7496484
71.country{col 13}.60461904{col 29}1.8267886
72.country{col 13}.51498522{col 29}1.5547281
73.country{col 13}.12224506{col 29}.50641236
74.country{col 13}.00647155{col 29}1.3227643
75.country{col 13}.18089708{col 29}1.0320111
76.country{col 13}1.4231382{col 29}2.739431
77.country{col 13}-9.0799375{col 29}-3.9564205
78.country{col 13}.61556268{col 29}1.7669267
79.country{col 13}-.56687863{col 29}.11747707
80.country{col 13}1.0064716{col 29}2.3227643
81.country{col 13}2.8758168{col 29}4.0058893
82.country{col 13}-1.9466009{col 29}1.4705856
83.country{col 13}3.3505183{col 29}4.5857346
84.country{col 13}-.89529205{col 29}-.1861256
85.country{col 13}-.29588155{col 29}-.10937451
86.country{col 13}3.9705134{col 29}4.6745429
87.country{col 13}.68528614{col 29}1.5383245
88.country{col 13}.73598185{col 29}1.6849732
89.country{col 13}.83980488{col 29}2.1560977
90.country{col 13}1.9727702{col 29}2.7733021
91.country{col 13}-.30897651{col 29}.6696642
92.country{col 13}-2.6575177{col 29}-.16487172
93.country{col 13}-.32686178{col 29}.98943098
94.country{col 13}.32999699{col 29}1.3980563
95.country{col 13}-.89440134{col 29}.50827311
96.country{col 13}.17313822{col 29}1.489431
97.country{col 13}-1.1969908{col 29}-.80510777
98.country{col 13}1.1731382{col 29}2.489431
99.country{col 13}1.6479349{col 29}2.7401532
100.country{col 13}.50647155{col 29}1.8227643
101.country{col 13}1.6772275{col 29}2.8480451
102.country{col 13}1.1684203{col 29}2.4062155
103.country{col 13}.50647155{col 29}1.8227643
104.country{col 13}.50647155{col 29}1.8227643
105.country{col 13}1.4066044{col 29}2.6334528
106.country{col 13}-2.0765879{col 29}.6196477
107.country{col 13}1.7028037{col 29}2.2896035
108.country{col 13}-.15149486{col 29}1.0793282
109.country{col 13}-.40919582{col 29}.67402576
110.country{col 13}2.1774132{col 29}2.9948265
111.country{col 13}5.1039263{col 29}5.8442529
112.country{col 13}-8.200741{col 29}-3.6207097
113.country{col 13}.48312805{col 29}1.6291474
114.country{col 13}-.32643636{col 29}.99152514
115.country{col 13}-4.400246{col 29}-1.3376851
116.country{col 13}-.32686178{col 29}.98943098
117.country{col 13}.33980488{col 29}1.6560977
118.country{col 13}-5.370552{col 29}-2.7176487
119.country{col 13}-5.1333068{col 29}-1.3259377
120.country{col 13}-5.6037711{col 29}-3.0349236
121.country{col 13}.1021266{col 29}1.1970999
122.country{col 13}-.70647699{col 29}.38195033
123.country{col 13}-.16019512{col 29}1.1560977
124.country{col 13}-2.3696036{col 29}1.9521336
125.country{col 13}-7.6024057{col 29}-3.8650577
126.country{col 13}-1.1112425{col 29}-.70583321
127.country{col 13}-.32686178{col 29}.98943098
128.country{col 13}.20251419{col 29}1.3615818
129.country{col 13}.06211646{col 29}1.385376
130.country{col 13}.02906339{col 29}1.1307043
city_pop_share{col 13}46.670586{col 29}106.506
_cons{col 13}-12.102965{col 29}-10.902285
{res}{hline 78}
{txt}
{com}. 
. **Column 2**
. plausexog uci lead_polity `ln_oworld_flexible' i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.8) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.138,0.138,0.138,0.138,0.138,0.138,0.138,0.138,0.138,0.138,0.138) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}ln_oworld_1100{col 13}-.1808748{col 29}.34459281
ln_oworld_1200{col 13}-.16677247{col 29}.11620454
ln_oworld_1300{col 13}-.18151464{col 29}.03166512
ln_oworld_1400{col 13}-.27760594{col 29}-.02040959
ln_oworld_1500{col 13}-.23153554{col 29}-.0106431
ln_oworld_1600{col 13}-.36809974{col 29}-.0305864
ln_oworld_1700{col 13}-.24979935{col 29}.04282706
ln_oworld_1750{col 13}-.12086643{col 29}.22577531
ln_oworld_1800{col 13}-.01767938{col 29}.40401885
ln_oworld_1850{col 13}.17145329{col 29}.69726659
ln_oworld_1900{col 13}.24903393{col 29}.89296377
1100.year{col 13}-2.8582127{col 29}1.0991844
1200.year{col 13}-1.0484587{col 29}.78149401
1300.year{col 13}-.0350436{col 29}1.3271015
1400.year{col 13}-.03449974{col 29}1.3269277
1500.year{col 13}-.05715738{col 29}1.0366116
1600.year{col 13}.17329619{col 29}1.7027687
1700.year{col 13}.08891293{col 29}1.6140149
1750.year{col 13}-.05511537{col 29}1.7057531
1800.year{col 13}-.33419157{col 29}1.8753102
1850.year{col 13}-.07812487{col 29}2.9223799
1900.year{col 13}2.9463744{col 29}7.0076423
2.country{col 13}.38870586{col 29}1.4366432
3.country{col 13}-2.5338335{col 29}-1.4136972
4.country{col 13}-.95273801{col 29}.36535322
5.country{col 13}.53661785{col 29}1.5086998
6.country{col 13}3.3933832{col 29}4.4458762
7.country{col 13}-.43816489{col 29}1.6463553
8.country{col 13}1.8106612{col 29}3.3494328
9.country{col 13}-1.4827688{col 29}-.15807401
10.country{col 13}-1.1826378{col 29}2.1840259
11.country{col 13}.26369765{col 29}1.9571477
12.country{col 13}-.3016601{col 29}.55393184
13.country{col 13}.3114534{col 29}1.4595067
14.country{col 13}.63460982{col 29}2.0752195
15.country{col 13}.24345367{col 29}1.4417584
16.country{col 13}-.39046307{col 29}1.1831472
17.country{col 13}-.04814951{col 29}.92310811
18.country{col 13}-2.1540054{col 29}-.8773041
19.country{col 13}-.80077325{col 29}.7881537
20.country{col 13}-.0797109{col 29}1.9458545
21.country{col 13}-.44487986{col 29}1.3014949
22.country{col 13}-1.1807834{col 29}.01229983
23.country{col 13}-1.0832036{col 29}.62734896
24.country{col 13}-.68660031{col 29}.94197065
25.country{col 13}-.08240074{col 29}1.8393494
26.country{col 13}.37198403{col 29}1.4285283
27.country{col 13}.32624746{col 29}1.0839391
28.country{col 13}.77716426{col 29}2.5743526
29.country{col 13}.82689322{col 29}1.7620045
30.country{col 13}-4.875079{col 29}-1.1574091
31.country{col 13}-.27720245{col 29}.96131177
32.country{col 13}-.00524118{col 29}.95403422
33.country{col 13}.03095388{col 29}.84721578
34.country{col 13}.48130522{col 29}1.6414195
35.country{col 13}1.0768932{col 29}2.0120045
36.country{col 13}2.6007327{col 29}3.9480741
37.country{col 13}2.5330094{col 29}3.8720603
38.country{col 13}-.62170362{col 29}1.1375386
39.country{col 13}-.16114649{col 29}.9496963
40.country{col 13}1.0136733{col 29}2.2037639
41.country{col 13}-.24266007{col 29}1.509596
42.country{col 13}1.543178{col 29}2.8124666
43.country{col 13}-.34790564{col 29}1.3812129
44.country{col 13}.52836898{col 29}1.7986857
45.country{col 13}.38768794{col 29}1.1409896
46.country{col 13}-.17310678{col 29}.76200453
47.country{col 13}1.2584659{col 29}2.0021844
48.country{col 13}.81784294{col 29}2.2730398
49.country{col 13}-3.2983615{col 29}-.69595985
50.country{col 13}-5.8307775{col 29}-2.5467231
51.country{col 13}-1.2328932{col 29}2.8214151
52.country{col 13}-.69233532{col 29}1.1833354
53.country{col 13}-1.1441142{col 29}1.2346616
54.country{col 13}.09608895{col 29}1.7812607
55.country{col 13}.27795541{col 29}1.1546189
56.country{col 13}-.32039854{col 29}1.166886
57.country{col 13}-.63300009{col 29}.64324917
58.country{col 13}.14215175{col 29}1.1875345
59.country{col 13}2.6721391{col 29}3.2756693
60.country{col 13}.07689322{col 29}1.0120045
61.country{col 13}-1.2246685{col 29}-.5719421
62.country{col 13}-1.428617{col 29}-.69527206
63.country{col 13}-.95907128{col 29}-.15591009
64.country{col 13}-.46778131{col 29}-.01174406
65.country{col 13}.27394445{col 29}1.309916
66.country{col 13}1.903788{col 29}3.422732
67.country{col 13}-.39528194{col 29}.64283897
68.country{col 13}-3.5228541{col 29}-1.0714328
69.country{col 13}-4.392892{col 29}-1.2799352
70.country{col 13}.05022975{col 29}1.3178363
71.country{col 13}.14854091{col 29}1.3502022
72.country{col 13}.19704467{col 29}1.2312061
73.country{col 13}-.23851104{col 29}.55668106
74.country{col 13}.03415297{col 29}.91146537
75.country{col 13}-.01557249{col 29}.7758688
76.country{col 13}1.4335872{col 29}2.317755
77.country{col 13}-7.1290082{col 29}-2.6199382
78.country{col 13}-.14913385{col 29}1.3481155
79.country{col 13}-.49795872{col 29}-.04693945
80.country{col 13}.6698195{col 29}1.8740626
81.country{col 13}2.4529177{col 29}3.5958801
82.country{col 13}-.64416698{col 29}2.4390114
83.country{col 13}3.7090275{col 29}4.6099454
84.country{col 13}-.62710817{col 29}.05938378
85.country{col 13}-.78720869{col 29}-.02858091
86.country{col 13}3.882479{col 29}4.5656619
87.country{col 13}.81344441{col 29}1.6485802
88.country{col 13}.35067628{col 29}1.3138687
89.country{col 13}.2959826{col 29}1.7430102
90.country{col 13}1.4265708{col 29}2.6294807
91.country{col 13}-.52336567{col 29}.51047337
92.country{col 13}-1.7918793{col 29}.2842928
93.country{col 13}-.17310678{col 29}.76200453
94.country{col 13}.05236736{col 29}1.1057538
95.country{col 13}-1.3050917{col 29}.18043509
96.country{col 13}.04204238{col 29}1.0332367
97.country{col 13}-1.219969{col 29}-.19965616
98.country{col 13}.74253153{col 29}2.054484
99.country{col 13}1.36712{col 29}2.3976871
100.country{col 13}-.11955573{col 29}1.4281675
101.country{col 13}1.337085{col 29}2.4247365
102.country{col 13}.82168326{col 29}1.953403
103.country{col 13}.54647854{col 29}1.4203681
104.country{col 13}.21838529{col 29}1.3690336
105.country{col 13}1.053599{col 29}2.2116107
106.country{col 13}-1.0827444{col 29}1.1296029
107.country{col 13}1.3890037{col 29}2.1951022
108.country{col 13}-1.0711356{col 29}.8083434
109.country{col 13}-.6726233{col 29}.26890452
110.country{col 13}2.0234693{col 29}2.8532991
111.country{col 13}5.0141549{col 29}5.700712
112.country{col 13}-6.4326596{col 29}-2.2946968
113.country{col 13}.0390983{col 29}1.2077442
114.country{col 13}-.83970915{col 29}.49832196
115.country{col 13}-3.2646038{col 29}-.68820482
116.country{col 13}-.72237836{col 29}.54880016
117.country{col 13}-.30468751{col 29}1.2658936
118.country{col 13}-4.3804233{col 29}-2.013416
119.country{col 13}-3.7215247{col 29}-.58741764
120.country{col 13}-4.6005796{col 29}-1.752975
121.country{col 13}-.63284924{col 29}.82198828
122.country{col 13}-.99619437{col 29}.15265599
123.country{col 13}-.00644011{col 29}.9286712
124.country{col 13}-.76883506{col 29}2.8841284
125.country{col 13}-6.1517618{col 29}-2.8138132
126.country{col 13}-1.4460382{col 29}-.63629438
127.country{col 13}-.17310678{col 29}.76200453
128.country{col 13}.35662441{col 29}1.2333372
129.country{col 13}-.53500248{col 29}.88061923
130.country{col 13}-.34334044{col 29}.70095557
city_pop_share{col 13}27.105085{col 29}83.115789
_cons{col 13}-11.711899{col 29}-10.602501
{res}{hline 78}
{txt}
{com}. 
. **Column 3**
. plausexog uci lead_polity `ln_oworld_flexible' `ln_tropical_flexible' `ln_rugged_flexible' `ln_elevation_flexible' i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.8) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.072,0.072,0.072,0.072,0.072,0.072,0.072,0.072,0.072,0.072,0.072) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900 ln_tropical_1100 ln_tropical_1200 ln_tropical_1300 ln_tropical_1400 ln_tropical_1500 ln_tropical_1600 ln_tropical_1700 ln_tropical_1750 ln_tropical_1800 ln_tropical_1850 ln_tropical_1900 ln_rugged_1100 ln_rugged_1200 ln_rugged_1300 ln_rugged_1400 ln_rugged_1500 ln_rugged_1600 ln_rugged_1700 ln_rugged_1750 ln_rugged_1800 ln_rugged_1850 ln_rugged_1900 ln_elevation_1100 ln_elevation_1200 ln_elevation_1300 ln_elevation_1400 ln_elevation_1500 ln_elevation_1600 ln_elevation_1700 ln_elevation_1750 ln_elevation_1800 ln_elevation_1850 ln_elevation_1900 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}ln_oworld_1100{col 13}-.11872224{col 29}.30157654
ln_oworld_1200{col 13}-.1156117{col 29}.11672877
ln_oworld_1300{col 13}-.10458769{col 29}.08503576
ln_oworld_1400{col 13}-.21396881{col 29}.00368664
ln_oworld_1500{col 13}-.16422731{col 29}.01627925
ln_oworld_1600{col 13}-.23802801{col 29}-.00531365
ln_oworld_1700{col 13}-.16904282{col 29}.12706839
ln_oworld_1750{col 13}.07358368{col 29}.45459873
ln_oworld_1800{col 13}.30362195{col 29}.77250555
ln_oworld_1850{col 13}.63244963{col 29}1.1646685
ln_oworld_1900{col 13}.38225972{col 29}1.2623511
ln_tropical_1100{col 13}-.05360001{col 29}.06730844
ln_tropical_1200{col 13}-.05410859{col 29}.05803242
ln_tropical_1300{col 13}-.09878551{col 29}.0405378
ln_tropical_1400{col 13}-.0408797{col 29}.11869095
ln_tropical_1500{col 13}-.0527631{col 29}.07191504
ln_tropical_1600{col 13}-.12495058{col 29}.07865469
ln_tropical_1700{col 13}-.09273218{col 29}.07850317
ln_tropical_1750{col 13}-.28663943{col 29}-.06555716
ln_tropical_1800{col 13}-.44365433{col 29}-.16518773
ln_tropical_1850{col 13}-.541429{col 29}-.17903506
ln_tropical_1900{col 13}-.3494699{col 29}.23941343
ln_rugged_1100{col 13}-.14029904{col 29}1.0415313
ln_rugged_1200{col 13}-.12199241{col 29}.48211885
ln_rugged_1300{col 13}-.0750484{col 29}.56480479
ln_rugged_1400{col 13}-.10785254{col 29}.83444698
ln_rugged_1500{col 13}-.14521081{col 29}.533502
ln_rugged_1600{col 13}-.5070331{col 29}.47427673
ln_rugged_1700{col 13}-.07744201{col 29}.96317148
ln_rugged_1750{col 13}.21229797{col 29}1.446328
ln_rugged_1800{col 13}.90158891{col 29}2.4313971
ln_rugged_1850{col 13}2.0065385{col 29}3.9674863
ln_rugged_1900{col 13}.39798353{col 29}2.6760572
ln_elevation_1100{col 13}-.63201246{col 29}.06493451
ln_elevation_1200{col 13}-.35811669{col 29}.06897618
ln_elevation_1300{col 13}-.38646218{col 29}.07323139
ln_elevation_1400{col 13}-.33503774{col 29}.21991782
ln_elevation_1500{col 13}-.49937996{col 29}.10685107
ln_elevation_1600{col 13}-.3237201{col 29}.55147527
ln_elevation_1700{col 13}-.61610807{col 29}.22166287
ln_elevation_1750{col 13}-1.0803823{col 29}-.10639271
ln_elevation_1800{col 13}-1.6128804{col 29}-.46657198
ln_elevation_1850{col 13}-4.0162427{col 29}-1.9155148
ln_elevation_1900{col 13}-2.5931155{col 29}-.04386893
1100.year{col 13}-.69951793{col 29}2.7556044
1200.year{col 13}-.34037965{col 29}1.7893998
1300.year{col 13}-.26048449{col 29}2.8303897
1400.year{col 13}-.98508678{col 29}2.4891297
1500.year{col 13}-.46995739{col 29}3.3633912
1600.year{col 13}-2.3928453{col 29}2.4453148
1700.year{col 13}-.70142294{col 29}4.1240511
1750.year{col 13}1.0985881{col 29}6.6254069
1800.year{col 13}2.8339705{col 29}9.5555313
1850.year{col 13}11.604916{col 29}24.366284
1900.year{col 13}4.8761841{col 29}19.959748
2.country{col 13}-.80252723{col 29}.62206788
3.country{col 13}-1.7296718{col 29}-.86770162
4.country{col 13}-.52087516{col 29}1.3572438
5.country{col 13}.41662807{col 29}1.4932594
6.country{col 13}4.5927712{col 29}6.6939121
7.country{col 13}-.66708836{col 29}1.553591
8.country{col 13}.68481587{col 29}3.5959256
9.country{col 13}-1.9994295{col 29}.65493215
10.country{col 13}-.16610375{col 29}2.7929992
11.country{col 13}.77730971{col 29}3.4718221
12.country{col 13}-.49626885{col 29}.21585957
13.country{col 13}-.66221568{col 29}.83013191
14.country{col 13}1.0933068{col 29}3.7837257
15.country{col 13}-.78039209{col 29}.90066674
16.country{col 13}.0089149{col 29}2.3897223
17.country{col 13}.33452595{col 29}1.6792197
18.country{col 13}-2.0867539{col 29}-.57631571
19.country{col 13}-.44156916{col 29}1.6472927
20.country{col 13}.73177573{col 29}3.3639077
21.country{col 13}-.06025221{col 29}2.092854
22.country{col 13}-.71388256{col 29}.38905007
23.country{col 13}-.23295487{col 29}2.3957538
24.country{col 13}-.21643551{col 29}2.063543
25.country{col 13}.18785979{col 29}2.7745218
26.country{col 13}-.81231297{col 29}.92773302
27.country{col 13}.19748367{col 29}.98521312
28.country{col 13}.82192297{col 29}2.316638
29.country{col 13}.36819598{col 29}1.6009169
30.country{col 13}-3.7081769{col 29}.02360383
31.country{col 13}.04571125{col 29}1.8416559
32.country{col 13}-.64615716{col 29}.54617975
33.country{col 13}-.67087928{col 29}1.7254345
34.country{col 13}.74057157{col 29}2.2478387
35.country{col 13}.75793735{col 29}2.6251542
36.country{col 13}1.5136317{col 29}4.2547837
37.country{col 13}2.3495771{col 29}3.2820483
38.country{col 13}-.07943235{col 29}2.4034421
39.country{col 13}-1.6228081{col 29}1.0242883
40.country{col 13}1.0490657{col 29}1.9521081
41.country{col 13}-.17493498{col 29}2.3201564
42.country{col 13}.73080458{col 29}2.08794
43.country{col 13}-.3134047{col 29}1.6334979
44.country{col 13}-.85820558{col 29}1.679302
45.country{col 13}-.02964608{col 29}1.3325034
46.country{col 13}-.22343272{col 29}1.0429117
47.country{col 13}1.3212891{col 29}2.632323
48.country{col 13}.76970098{col 29}2.4034747
49.country{col 13}-3.0118034{col 29}-.07095973
50.country{col 13}-5.0569003{col 29}-1.9096787
51.country{col 13}-.5779788{col 29}3.2807778
52.country{col 13}-.91403059{col 29}.91888163
53.country{col 13}-1.4366713{col 29}.94192426
54.country{col 13}-.33615485{col 29}1.2730304
55.country{col 13}.1920824{col 29}1.5420965
56.country{col 13}-.87805698{col 29}1.5245083
57.country{col 13}-.19167805{col 29}1.8341626
58.country{col 13}-.31995673{col 29}.66160855
59.country{col 13}1.5319959{col 29}2.5500706
60.country{col 13}.06975772{col 29}2.1932287
61.country{col 13}-1.3821436{col 29}-.43323457
62.country{col 13}-1.7641255{col 29}-.75919543
63.country{col 13}-1.0845847{col 29}.54926017
64.country{col 13}-1.0395416{col 29}-.3207185
65.country{col 13}-.25679492{col 29}.71762035
66.country{col 13}2.1350089{col 29}4.4665599
67.country{col 13}-.72589312{col 29}1.3900787
68.country{col 13}-2.3817466{col 29}-.59979013
69.country{col 13}-4.1802856{col 29}-.72821981
70.country{col 13}-.07015703{col 29}1.7047594
71.country{col 13}.40194161{col 29}2.1289714
72.country{col 13}.05389769{col 29}1.5992277
73.country{col 13}.72358342{col 29}2.5328698
74.country{col 13}.4801505{col 29}2.9888187
75.country{col 13}-1.235574{col 29}.43994149
76.country{col 13}1.8268752{col 29}3.1304663
77.country{col 13}-6.6768412{col 29}-1.6866665
78.country{col 13}-.26057204{col 29}1.9012132
79.country{col 13}-.86454679{col 29}.36536841
80.country{col 13}.55963429{col 29}2.2281212
81.country{col 13}1.6804586{col 29}2.8020227
82.country{col 13}.58427773{col 29}2.9346884
83.country{col 13}2.7663584{col 29}3.6675253
84.country{col 13}.6695258{col 29}2.0821768
85.country{col 13}-.30549782{col 29}1.2828649
86.country{col 13}3.209322{col 29}4.1286714
87.country{col 13}.76363213{col 29}1.9376874
88.country{col 13}-.30196426{col 29}.99306578
89.country{col 13}.30567535{col 29}1.8322809
90.country{col 13}.75791615{col 29}2.1911711
91.country{col 13}-.94118875{col 29}.80709399
92.country{col 13}-1.7376854{col 29}.07962034
93.country{col 13}-1.0340232{col 29}1.5109325
94.country{col 13}-.81646966{col 29}.56674225
95.country{col 13}-2.1381273{col 29}-.45592645
96.country{col 13}.26882959{col 29}1.271209
97.country{col 13}-.36617433{col 29}.69877408
98.country{col 13}.06731459{col 29}2.6457992
99.country{col 13}.53057475{col 29}1.8685285
100.country{col 13}-.40089946{col 29}1.749287
101.country{col 13}.33435952{col 29}1.9485535
102.country{col 13}-.27869232{col 29}1.2827945
103.country{col 13}.09430457{col 29}1.7620092
104.country{col 13}-.27129744{col 29}1.6110536
105.country{col 13}.94683315{col 29}2.2445431
106.country{col 13}-.93500077{col 29}1.2656117
107.country{col 13}1.1428862{col 29}2.565609
108.country{col 13}-.67465707{col 29}1.4744382
109.country{col 13}-1.3979904{col 29}-.0845328
110.country{col 13}1.5619461{col 29}2.7991423
111.country{col 13}4.3243288{col 29}5.0511202
112.country{col 13}-5.2569385{col 29}-1.0547981
113.country{col 13}-.55421537{col 29}.52114088
114.country{col 13}-.28954909{col 29}1.721655
115.country{col 13}-2.929935{col 29}.20185323
116.country{col 13}-1.1129849{col 29}.3372555
117.country{col 13}-.14809532{col 29}2.1815649
118.country{col 13}-3.8590025{col 29}-1.7863059
119.country{col 13}-3.5714728{col 29}-.15176821
120.country{col 13}-3.0221338{col 29}-.46373439
121.country{col 13}-.15703482{col 29}1.5519227
122.country{col 13}-1.711257{col 29}.06592145
123.country{col 13}-.63366919{col 29}1.128676
124.country{col 13}-.162671{col 29}3.1631681
125.country{col 13}-5.1895851{col 29}-1.9681511
126.country{col 13}-1.9678145{col 29}-.81064547
127.country{col 13}.41641951{col 29}2.5659205
128.country{col 13}.48509861{col 29}1.457778
129.country{col 13}.05606769{col 29}2.1876778
130.country{col 13}-.07709038{col 29}1.4938507
city_pop_share{col 13}7.4456751{col 29}71.86954
_cons{col 13}-11.896146{col 29}-10.283601
{res}{hline 78}
{txt}
{com}. 
. ********************************************************
. *  40% of the reduced-form estimated effect at 95% CI  *
. ********************************************************
. 
. **Column 1**
. plausexog uci lead_polity i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.9) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.20,0.20,0.20,0.20,0.20,0.20,0.20,0.20,0.20,0.20,0.20) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}1100.year{col 13}-1.6724091{col 29}.75214411
1200.year{col 13}-1.4342238{col 29}.50929982
1300.year{col 13}-.85822246{col 29}1.1440252
1400.year{col 13}-1.7464227{col 29}.48420985
1500.year{col 13}-1.4725319{col 29}.39302264
1600.year{col 13}-1.8091735{col 29}.48298244
1700.year{col 13}-1.2729788{col 29}.92738799
1750.year{col 13}-.26415075{col 29}2.1179353
1800.year{col 13}.59971603{col 29}3.1775552
1850.year{col 13}2.8152914{col 29}5.807107
1900.year{col 13}6.1800795{col 29}9.8700627
2.country{col 13}.53580195{col 29}1.993587
3.country{col 13}-3.3081978{col 29}-1.4675621
4.country{col 13}-.74448019{col 29}.92931642
5.country{col 13}.56775022{col 29}2.0108109
6.country{col 13}2.7802392{col 29}4.6695215
7.country{col 13}-1.8183053{col 29}1.4244846
8.country{col 13}2.3641042{col 29}3.924707
9.country{col 13}-1.4650626{col 29}.37634935
10.country{col 13}-3.306563{col 29}1.6107408
11.country{col 13}.87378065{col 29}2.6001681
12.country{col 13}-.47110509{col 29}1.1513106
13.country{col 13}.36619195{col 29}1.9868111
14.country{col 13}1.0404473{col 29}2.7668348
15.country{col 13}.29079274{col 29}1.965715
16.country{col 13}.12378065{col 29}1.8501681
17.country{col 13}.0715857{col 29}1.4878853
18.country{col 13}-2.7080813{col 29}-.88655179
19.country{col 13}-.11129078{col 29}1.3100923
20.country{col 13}.79044732{col 29}2.5168348
21.country{col 13}.20711399{col 29}1.9335014
22.country{col 13}-1.256969{col 29}.19623503
23.country{col 13}-.45955268{col 29}1.2668348
24.country{col 13}-.06008593{col 29}1.4610676
25.country{col 13}.70711399{col 29}2.4335014
26.country{col 13}.43878481{col 29}1.9136643
27.country{col 13}-.05356208{col 29}1.194027
28.country{col 13}-.41932361{col 29}2.4232455
29.country{col 13}.54044732{col 29}2.2668348
30.country{col 13}-6.8495456{col 29}-2.1183265
31.country{col 13}-.04288601{col 29}1.6835014
32.country{col 13}-.04288601{col 29}1.6835014
33.country{col 13}-.04444978{col 29}1.1104787
34.country{col 13}.56288786{col 29}2.1374555
35.country{col 13}.79044732{col 29}2.5168348
36.country{col 13}2.7045104{col 29}4.5217668
37.country{col 13}1.5668027{col 29}4.0676448
38.country{col 13}.04044732{col 29}1.7668348
39.country{col 13}-.04288601{col 29}1.6835014
40.country{col 13}.18718948{col 29}2.3953056
41.country{col 13}.46571475{col 29}2.0588955
42.country{col 13}.63061072{col 29}2.8178846
43.country{col 13}.29044732{col 29}2.0168348
44.country{col 13}.79044732{col 29}2.5168348
45.country{col 13}.09340172{col 29}1.2637617
46.country{col 13}-.45955268{col 29}1.2668348
47.country{col 13}1.5499469{col 29}2.0892879
48.country{col 13}1.4311792{col 29}2.6657282
49.country{col 13}-4.8593822{col 29}-1.1425129
50.country{col 13}-7.9045926{col 29}-3.0785917
51.country{col 13}-3.7715444{col 29}2.1381266
52.country{col 13}-1.8035422{col 29}.79660812
53.country{col 13}-2.8197871{col 29}1.1045029
54.country{col 13}-1.1063783{col 29}1.7758837
55.country{col 13}.19556153{col 29}1.8179773
56.country{col 13}.12378065{col 29}1.8501681
57.country{col 13}-.45841602{col 29}1.2431742
58.country{col 13}-.56519407{col 29}1.1772199
59.country{col 13}2.3476662{col 29}3.34305
60.country{col 13}-.20955268{col 29}1.5168348
61.country{col 13}-1.5252644{col 29}-.59664061
62.country{col 13}-1.1916077{col 29}-.61839377
63.country{col 13}-1.4284181{col 29}-.05344984
64.country{col 13}-.43289109{col 29}-.30733637
65.country{col 13}.29875054{col 29}1.802902
66.country{col 13}2.3737807{col 29}4.1001681
67.country{col 13}-.2128864{col 29}1.2106178
68.country{col 13}-5.1798933{col 29}-1.2963036
69.country{col 13}-6.2973659{col 29}-1.9021165
70.country{col 13}.36278682{col 29}1.8466553
71.country{col 13}.33450598{col 29}1.9350919
72.country{col 13}.42127476{col 29}1.7867067
73.country{col 13}.11905119{col 29}.63010008
74.country{col 13}-.12621935{col 29}1.6001681
75.country{col 13}-.04722062{col 29}1.0726598
76.country{col 13}1.2904473{col 29}3.0168348
77.country{col 13}-10.031225{col 29}-3.3226092
78.country{col 13}.3786485{col 29}1.8850902
79.country{col 13}-.7374543{col 29}.16371028
80.country{col 13}.87378065{col 29}2.6001681
81.country{col 13}2.7421911{col 29}4.2223272
82.country{col 13}-2.5807876{col 29}1.8942015
83.country{col 13}3.0651187{col 29}4.6882188
84.country{col 13}-.94538603{col 29}-.01504938
85.country{col 13}-.35512852{col 29}-.10723705
86.country{col 13}3.7837851{col 29}4.7096055
87.country{col 13}.61789218{col 29}1.7396355
88.country{col 13}.53761686{col 29}1.7795369
89.country{col 13}.70711399{col 29}2.4335014
90.country{col 13}1.9127772{col 29}2.9659885
91.country{col 13}-.62905391{col 29}.67415166
92.country{col 13}-3.1828163{col 29}.08641962
93.country{col 13}-.45955268{col 29}1.2668348
94.country{col 13}.0141193{col 29}1.4274104
95.country{col 13}-1.3376785{col 29}.52602974
96.country{col 13}.04044732{col 29}1.7668348
97.country{col 13}-1.2013418{col 29}-.68043051
98.country{col 13}1.0404473{col 29}2.7668348
99.country{col 13}1.3483201{col 29}2.7872895
100.country{col 13}.37378065{col 29}2.1001681
101.country{col 13}1.3904814{col 29}2.9271831
102.country{col 13}.89179606{col 29}2.5132166
103.country{col 13}.37378065{col 29}2.1001681
104.country{col 13}.37378065{col 29}2.1001681
105.country{col 13}1.0782229{col 29}2.6923694
106.country{col 13}-2.6050091{col 29}.92798724
107.country{col 13}1.6729368{col 29}2.4471829
108.country{col 13}-.27213857{col 29}1.342693
109.country{col 13}-.59668078{col 29}.8198855
110.country{col 13}1.9164207{col 29}3.0032209
111.country{col 13}4.8875441{col 29}5.8664787
112.country{col 13}-9.0235109{col 29}-3.0273508
113.country{col 13}.3430249{col 29}1.8431263
114.country{col 13}-.65973653{col 29}1.0694641
115.country{col 13}-4.8541308{col 29}-.84706679
116.country{col 13}-.45955268{col 29}1.2668348
117.country{col 13}.20711399{col 29}1.9335014
118.country{col 13}-5.8800763{col 29}-2.4051961
119.country{col 13}-5.8742249{col 29}-.88593803
120.country{col 13}-5.9747201{col 29}-2.6130989
121.country{col 13}-.05352835{col 29}1.3794073
122.country{col 13}-1.0539834{col 29}.39314072
123.country{col 13}-.29288601{col 29}1.4335014
124.country{col 13}-3.2118723{col 29}2.4504836
125.country{col 13}-8.1696131{col 29}-3.2794763
126.country{col 13}-1.1170248{col 29}-.57860458
127.country{col 13}-.45955268{col 29}1.2668348
128.country{col 13}.09198459{col 29}1.6131603
129.country{col 13}-.2526695{col 29}1.4850805
130.country{col 13}-.18015036{col 29}1.262123
city_pop_share{col 13}38.250517{col 29}116.55872
_cons{col 13}-12.294945{col 29}-10.73019
{res}{hline 78}
{txt}
{com}. 
. **Column 2**
. plausexog uci lead_polity `ln_oworld_flexible' i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.9) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.184,0.184,0.184,0.184,0.184,0.184,0.184,0.184,0.184,0.184,0.184) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}ln_oworld_1100{col 13}-.28243164{col 29}.42370552
ln_oworld_1200{col 13}-.2305007{col 29}.14961975
ln_oworld_1300{col 13}-.23604593{col 29}.05102304
ln_oworld_1400{col 13}-.34079801{col 29}-.003486
ln_oworld_1500{col 13}-.28827171{col 29}.00210793
ln_oworld_1600{col 13}-.44666211{col 29}-.00642793
ln_oworld_1700{col 13}-.31420699{col 29}.0686756
ln_oworld_1750{col 13}-.19015885{col 29}.26129173
ln_oworld_1800{col 13}-.09638146{col 29}.45096639
ln_oworld_1850{col 13}.07835063{col 29}.75977805
ln_oworld_1900{col 13}.14003399{col 29}.97214735
1100.year{col 13}-3.5476675{col 29}1.7769277
1200.year{col 13}-1.3461241{col 29}1.1149523
1300.year{col 13}-.21343679{col 29}1.6158227
1400.year{col 13}-.20801088{col 29}1.6155365
1500.year{col 13}-.20137202{col 29}1.2711977
1600.year{col 13}.03021602{col 29}2.0157466
1700.year{col 13}-.06784038{col 29}1.9072601
1750.year{col 13}-.25924984{col 29}2.0192971
1800.year{col 13}-.61315481{col 29}2.2407149
1850.year{col 13}-.47062677{col 29}3.3995939
1900.year{col 13}2.3457898{col 29}7.6333106
2.country{col 13}.18780704{col 29}1.5566477
3.country{col 13}-2.7668778{col 29}-1.296464
4.country{col 13}-1.1967113{col 29}.52059141
5.country{col 13}.3235213{col 29}1.5956955
6.country{col 13}3.1248243{col 29}4.515313
7.country{col 13}-.85047155{col 29}1.8825151
8.country{col 13}1.6685614{col 29}3.6861539
9.country{col 13}-1.7818741{col 29}-.05357606
10.country{col 13}-1.787187{col 29}2.6199862
11.country{col 13}.10166697{col 29}2.3212756
12.country{col 13}-.43324758{col 29}.68542364
13.country{col 13}.0578212{col 29}1.5578103
14.country{col 13}.48947671{col 29}2.3781715
15.country{col 13}-.02095223{col 29}1.544411
16.country{col 13}-.54440287{col 29}1.5183792
17.country{col 13}-.2289853{col 29}1.0403602
18.country{col 13}-2.2508803{col 29}-.58179738
19.country{col 13}-.99268122{col 29}1.0825381
20.country{col 13}-.26470273{col 29}2.3894237
21.country{col 13}-.61052189{col 29}1.6783384
22.country{col 13}-1.4660352{col 29}.09550212
23.country{col 13}-1.2463989{col 29}.99558863
24.country{col 13}-.91051232{col 29}1.211768
25.country{col 13}-.26014575{col 29}2.2581676
26.country{col 13}.14534196{col 29}1.5262664
27.country{col 13}.12488171{col 29}1.122382
28.country{col 13}.40193788{col 29}2.7609656
29.country{col 13}.6659287{col 29}1.8939331
30.country{col 13}-5.4589718{col 29}-.60121017
31.country{col 13}-.4094592{col 29}1.2145596
32.country{col 13}-.12198708{col 29}1.1356708
33.country{col 13}-.17439696{col 29}.89615746
34.country{col 13}.23918107{col 29}1.7547208
35.country{col 13}.9159287{col 29}2.1439331
36.country{col 13}2.3307866{col 29}4.0916444
37.country{col 13}2.2193989{col 29}3.9804844
38.country{col 13}-.78822681{col 29}1.5174698
39.country{col 13}-.28578924{col 29}1.1707963
40.country{col 13}.71982944{col 29}2.2862669
41.country{col 13}-.40128836{col 29}1.8955514
42.country{col 13}1.276273{col 29}2.9430186
43.country{col 13}-.51236785{col 29}1.7539132
44.country{col 13}.39413953{col 29}2.0598282
45.country{col 13}.192768{col 29}1.1830279
46.country{col 13}-.3340713{col 29}.89393313
47.country{col 13}1.1695649{col 29}2.1356661
48.country{col 13}.69952884{col 29}2.6084486
49.country{col 13}-3.6813951{col 29}-.27811926
50.country{col 13}-6.3630706{col 29}-2.0654021
51.country{col 13}-1.8899313{col 29}3.4153559
52.country{col 13}-1.0444338{col 29}1.4116065
53.country{col 13}-1.603767{col 29}1.5143263
54.country{col 13}-.26041486{col 29}1.9526965
55.country{col 13}.15451818{col 29}1.3028708
56.country{col 13}-.46859834{col 29}1.4811959
57.country{col 13}-.88262331{col 29}.78162825
58.country{col 13}-.10823001{col 29}1.268348
59.country{col 13}2.5048655{col 29}3.3011585
60.country{col 13}-.0840713{col 29}1.1439331
61.country{col 13}-1.2777823{col 29}-.42444255
62.country{col 13}-1.4616653{col 29}-.49519105
63.country{col 13}-1.1795484{col 29}-.11615288
64.country{col 13}-.57245383{col 29}.02428904
65.country{col 13}.0359177{col 29}1.3919298
66.country{col 13}1.7534928{col 29}3.7447268
67.country{col 13}-.58105079{col 29}.7755364
68.country{col 13}-4.0020074{col 29}-.78847767
69.country{col 13}-4.9355141{col 29}-.86206849
70.country{col 13}-.16233907{col 29}1.4898817
71.country{col 13}-.08138705{col 29}1.4865476
72.country{col 13}.09981229{col 29}1.4574367
73.country{col 13}-.2785797{col 29}.77271808
74.country{col 13}-.08192361{col 29}1.066853
75.country{col 13}-.20592124{col 29}.82974957
76.country{col 13}1.3181705{col 29}2.4760734
77.country{col 13}-7.9075147{col 29}-2.0044951
78.country{col 13}-.36522469{col 29}1.5864368
79.country{col 13}-.58396197{col 29}.00557578
80.country{col 13}.53965928{col 29}2.1187607
81.country{col 13}2.315107{col 29}3.8107706
82.country{col 13}-1.1815855{col 29}2.8536374
83.country{col 13}3.5181145{col 29}4.7010265
84.country{col 13}-.69750335{col 29}.19755784
85.country{col 13}-.85713059{col 29}.13137385
86.country{col 13}3.6962281{col 29}4.5964205
87.country{col 13}.64698132{col 29}1.7429634
88.country{col 13}.17689179{col 29}1.4340655
89.country{col 13}.1504295{col 29}2.0475261
90.country{col 13}1.335793{col 29}2.9150238
91.country{col 13}-.78038671{col 29}.57521754
92.country{col 13}-2.2035318{col 29}.51878518
93.country{col 13}-.3340713{col 29}.89393313
94.country{col 13}-.19475777{col 29}1.1822095
95.country{col 13}-1.64588{col 29}.29435699
96.country{col 13}-.07621411{col 29}1.2229876
97.country{col 13}-1.4223908{col 29}-.09546662
98.country{col 13}.60568492{col 29}2.3259139
99.country{col 13}1.1266628{col 29}2.4732841
100.country{col 13}-.27176567{col 29}1.7571359
101.country{col 13}1.0969411{col 29}2.5183267
102.country{col 13}.57642821{col 29}2.0547934
103.country{col 13}.42946949{col 29}1.573463
104.country{col 13}.09143136{col 29}1.6002533
105.country{col 13}.79375941{col 29}2.3041463
106.country{col 13}-1.4788229{col 29}1.4185789
107.country{col 13}1.3412012{col 29}2.4018668
108.country{col 13}-1.2398279{col 29}1.2234048
109.country{col 13}-.85724993{col 29}.3739654
110.country{col 13}1.8114227{col 29}2.9009222
111.country{col 13}4.8267228{col 29}5.731089
112.country{col 13}-7.1261255{col 29}-1.7107221
113.country{col 13}-.1052793{col 29}1.4241023
114.country{col 13}-1.0944307{col 29}.64843302
115.country{col 13}-3.5703988{col 29}-.20094281
116.country{col 13}-.8566616{col 29}.81015613
117.country{col 13}-.45842453{col 29}1.6003931
118.country{col 13}-4.8086233{col 29}-1.7096714
119.country{col 13}-4.2775689{col 29}-.17352736
120.country{col 13}-5.056863{col 29}-1.3380108
121.country{col 13}-.80802065{col 29}1.0933882
122.country{col 13}-1.26756{col 29}.23502583
123.country{col 13}-.16740464{col 29}1.0605998
124.country{col 13}-1.4268575{col 29}3.3568951
125.country{col 13}-6.6082813{col 29}-2.2424677
126.country{col 13}-1.4861544{col 29}-.42040561
127.country{col 13}-.3340713{col 29}.89393313
128.country{col 13}.20125821{col 29}1.3501151
129.country{col 13}-.78621777{col 29}1.0577053
130.country{col 13}-.5377709{col 29}.82606162
city_pop_share{col 13}18.815547{col 29}92.07776
_cons{col 13}-11.896783{col 29}-10.453228
{res}{hline 78}
{txt}
{com}. 
. **Column 3**
. plausexog uci lead_polity `ln_oworld_flexible' `ln_tropical_flexible' `ln_rugged_flexible' `ln_elevation_flexible' i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.9) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.096,0.096,0.096,0.096,0.096,0.096,0.096,0.096,0.096,0.096,0.096) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900 ln_tropical_1100 ln_tropical_1200 ln_tropical_1300 ln_tropical_1400 ln_tropical_1500 ln_tropical_1600 ln_tropical_1700 ln_tropical_1750 ln_tropical_1800 ln_tropical_1850 ln_tropical_1900 ln_rugged_1100 ln_rugged_1200 ln_rugged_1300 ln_rugged_1400 ln_rugged_1500 ln_rugged_1600 ln_rugged_1700 ln_rugged_1750 ln_rugged_1800 ln_rugged_1850 ln_rugged_1900 ln_elevation_1100 ln_elevation_1200 ln_elevation_1300 ln_elevation_1400 ln_elevation_1500 ln_elevation_1600 ln_elevation_1700 ln_elevation_1750 ln_elevation_1800 ln_elevation_1850 ln_elevation_1900 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}ln_oworld_1100{col 13}-.1964401{col 29}.36328232
ln_oworld_1200{col 13}-.16570612{col 29}.14434643
ln_oworld_1300{col 13}-.14766225{col 29}.10656346
ln_oworld_1400{col 13}-.26451168{col 29}.02254492
ln_oworld_1500{col 13}-.20796779{col 29}.03353802
ln_oworld_1600{col 13}-.29046245{col 29}.01346253
ln_oworld_1700{col 13}-.22719036{col 29}.15862199
ln_oworld_1750{col 13}.00486547{col 29}.49947387
ln_oworld_1800{col 13}.22266237{col 29}.83013005
ln_oworld_1850{col 13}.54339122{col 29}1.2321936
ln_oworld_1900{col 13}.2445894{col 29}1.3819492
ln_tropical_1100{col 13}-.06876612{col 29}.09320477
ln_tropical_1200{col 13}-.06785304{col 29}.08216941
ln_tropical_1300{col 13}-.11843055{col 29}.06395102
ln_tropical_1400{col 13}-.06199814{col 29}.15225756
ln_tropical_1500{col 13}-.06921368{col 29}.09813894
ln_tropical_1600{col 13}-.15559551{col 29}.11682304
ln_tropical_1700{col 13}-.11142237{col 29}.11175066
ln_tropical_1750{col 13}-.31339911{col 29}-.02680195
ln_tropical_1800{col 13}-.47964131{col 29}-.11951875
ln_tropical_1850{col 13}-.58992971{col 29}-.12212634
ln_tropical_1900{col 13}-.43302036{col 29}.32948685
ln_rugged_1100{col 13}-.30327768{col 29}1.2393563
ln_rugged_1200{col 13}-.22589774{col 29}.57851484
ln_rugged_1300{col 13}-.15699697{col 29}.674183
ln_rugged_1400{col 13}-.22565667{col 29}.99541745
ln_rugged_1500{col 13}-.25744207{col 29}.64976745
ln_rugged_1600{col 13}-.68450605{col 29}.63078032
ln_rugged_1700{col 13}-.21067718{col 29}1.1332401
ln_rugged_1750{col 13}.04361471{col 29}1.6343284
ln_rugged_1800{col 13}.68909359{col 29}2.6563106
ln_rugged_1850{col 13}1.7281651{col 29}4.2500464
ln_rugged_1900{col 13}.06412729{col 29}3.0084909
ln_elevation_1100{col 13}-.74761406{col 29}.15228344
ln_elevation_1200{col 13}-.42820049{col 29}.13756177
ln_elevation_1300{col 13}-.46783748{col 29}.14883707
ln_elevation_1400{col 13}-.42882947{col 29}.31839816
ln_elevation_1500{col 13}-.60589689{col 29}.20450275
ln_elevation_1600{col 13}-.4612976{col 29}.71270034
ln_elevation_1700{col 13}-.72465823{col 29}.36216231
ln_elevation_1750{col 13}-1.2171981{col 29}.04555254
ln_elevation_1800{col 13}-1.7793897{col 29}-.2970544
ln_elevation_1850{col 13}-4.3161161{col 29}-1.6107515
ln_elevation_1900{col 13}-2.958946{col 29}.34613039
1100.year{col 13}-1.2500319{col 29}3.3802943
1200.year{col 13}-.67957932{col 29}2.1731182
1300.year{col 13}-.66261571{col 29}3.3917246
1400.year{col 13}-1.5638804{col 29}3.1266852
1500.year{col 13}-.9720477{col 29}4.0665592
1600.year{col 13}-3.2406981{col 29}3.2810152
1700.year{col 13}-1.4980394{col 29}4.7759006
1750.year{col 13}.24765647{col 29}7.4064244
1800.year{col 13}1.8449659{col 29}10.535674
1850.year{col 13}9.764389{col 29}26.18546
1900.year{col 13}2.5867456{col 29}22.142905
2.country{col 13}-1.0297881{col 29}.82084027
3.country{col 13}-1.895251{col 29}-.77511804
4.country{col 13}-.86405089{col 29}1.5752013
5.country{col 13}.21362892{col 29}1.6132527
6.country{col 13}4.1858473{col 29}6.9099662
7.country{col 13}-1.0311608{col 29}1.8550052
8.country{col 13}.29494649{col 29}4.0765621
9.country{col 13}-2.4380229{col 29}1.0052455
10.country{col 13}-.63852451{col 29}3.2099196
11.country{col 13}.41574119{col 29}3.9057733
12.country{col 13}-.61517079{col 29}.3078676
13.country{col 13}-.91765488{col 29}1.019352
14.country{col 13}.74295332{col 29}4.2319069
15.country{col 13}-1.0636092{col 29}1.1188145
16.country{col 13}-.31381297{col 29}2.7704312
17.country{col 13}.07745585{col 29}1.8278479
18.country{col 13}-2.3238045{col 29}-.36777448
19.country{col 13}-.74563959{col 29}1.9576986
20.country{col 13}.39212781{col 29}3.7984847
21.country{col 13}-.34384051{col 29}2.4454556
22.country{col 13}-.95123969{col 29}.48272131
23.country{col 13}-.58290244{col 29}2.8185897
24.country{col 13}-.56984459{col 29}2.3780758
25.country{col 13}-.15205678{col 29}3.1997806
26.country{col 13}-1.0989223{col 29}1.1618737
27.country{col 13}.04234208{col 29}1.0647375
28.country{col 13}.53735635{col 29}2.488146
29.country{col 13}.15885878{col 29}1.7605752
30.country{col 13}-4.2623814{col 29}.58382757
31.country{col 13}-.20885344{col 29}2.1193
32.country{col 13}-.81745399{col 29}.73475234
33.country{col 13}-1.0642468{col 29}2.0468821
34.country{col 13}.4448674{col 29}2.4029953
35.country{col 13}.4138848{col 29}2.8438093
36.country{col 13}1.070422{col 29}4.6311002
37.country{col 13}2.16532{col 29}3.3829038
38.country{col 13}-.409067{col 29}2.8064582
39.country{col 13}-1.9949111{col 29}1.445852
40.country{col 13}.87556337{col 29}2.0469017
41.country{col 13}-.50316059{col 29}2.731136
42.country{col 13}.49331902{col 29}2.2549568
43.country{col 13}-.5675251{col 29}1.9567814
44.country{col 13}-1.2055104{col 29}2.0919986
45.country{col 13}-.26197159{col 29}1.5063493
46.country{col 13}-.4417604{col 29}1.2033181
47.country{col 13}1.0993483{col 29}2.8037536
48.country{col 13}.57339345{col 29}2.6880706
49.country{col 13}-3.4217385{col 29}.39820991
50.country{col 13}-5.5183896{col 29}-1.4283257
51.country{col 13}-1.146148{col 29}3.8679034
52.country{col 13}-1.2186375{col 29}1.1624644
53.country{col 13}-1.8220975{col 29}1.2706111
54.country{col 13}-.62427184{col 29}1.4688123
55.country{col 13}-.0180935{col 29}1.7360844
56.country{col 13}-1.1991479{col 29}1.9231465
57.country{col 13}-.5635899{col 29}2.0684855
58.country{col 13}-.51129642{col 29}.7647973
59.country{col 13}1.3573967{col 29}2.6844038
60.country{col 13}-.27384497{col 29}2.4830088
61.country{col 13}-1.4978125{col 29}-.26630281
62.country{col 13}-1.9172191{col 29}-.59007859
63.country{col 13}-1.3641058{col 29}.7563335
64.country{col 13}-1.1727725{col 29}-.24119604
65.country{col 13}-.44034548{col 29}.82468713
66.country{col 13}1.8165986{col 29}4.8384084
67.country{col 13}-1.061267{col 29}1.685082
68.country{col 13}-2.7008711{col 29}-.38207203
69.country{col 13}-4.7078052{col 29}-.22227725
70.country{col 13}-.37743296{col 29}1.9292972
71.country{col 13}.08688333{col 29}2.3308645
72.country{col 13}-.15797471{col 29}1.8447309
73.country{col 13}.50417673{col 29}2.8374943
74.country{col 13}.11229857{col 29}3.3637615
75.country{col 13}-1.5106251{col 29}.66677999
76.country{col 13}1.6318692{col 29}3.3231474
77.country{col 13}-7.4275579{col 29}-.9421394
78.country{col 13}-.6008466{col 29}2.199008
79.country{col 13}-1.1044957{col 29}.50284929
80.country{col 13}.3330708{col 29}2.5010749
81.country{col 13}1.534697{col 29}2.993732
82.country{col 13}.18011412{col 29}3.2350936
83.country{col 13}2.6045016{col 29}3.7800556
84.country{col 13}.42744278{col 29}2.2871646
85.country{col 13}-.54858661{col 29}1.5128857
86.country{col 13}3.032961{col 29}4.2300583
87.country{col 13}.55618871{col 29}2.0836267
88.country{col 13}-.51099971{col 29}1.1705372
89.country{col 13}.10230299{col 29}2.0814406
90.country{col 13}.59515741{col 29}2.4544845
91.country{col 13}-1.2415399{col 29}1.0270408
92.country{col 13}-2.0467009{col 29}.31760446
93.country{col 13}-1.43669{col 29}1.8719207
94.country{col 13}-1.0524526{col 29}.7428871
95.country{col 13}-2.4247249{col 29}-.24297267
96.country{col 13}.10092891{col 29}1.4069934
97.country{col 13}-.57457568{col 29}.81498923
98.country{col 13}-.29366103{col 29}3.0540581
99.country{col 13}.29896067{col 29}2.0359003
100.country{col 13}-.69093524{col 29}2.0995012
101.country{col 13}.06071892{col 29}2.1571234
102.country{col 13}-.54478344{col 29}1.4824878
103.country{col 13}-.19002247{col 29}1.9846667
104.country{col 13}-.53452951{col 29}1.9132585
105.country{col 13}.69681023{col 29}2.3835546
106.country{col 13}-1.2727238{col 29}1.5883984
107.country{col 13}.97105589{col 29}2.8133668
108.country{col 13}-.94849312{col 29}1.8348925
109.country{col 13}-1.6268512{col 29}.07977536
110.country{col 13}1.3424066{col 29}2.9493132
111.country{col 13}4.1848294{col 29}5.1264035
112.country{col 13}-5.8856149{col 29}-.42389149
113.country{col 13}-.69635996{col 29}.70209166
114.country{col 13}-.65831512{col 29}1.9538398
115.country{col 13}-3.3786666{col 29}.68879687
116.country{col 13}-1.3093365{col 29}.57405529
117.country{col 13}-.46387479{col 29}2.5564115
118.country{col 13}-4.1919633{col 29}-1.4964573
119.country{col 13}-4.0898319{col 29}.3556475
120.country{col 13}-3.4264603{col 29}-.10452417
121.country{col 13}-.40809138{col 29}1.8041922
122.country{col 13}-2.0114162{col 29}.29457445
123.country{col 13}-.92099077{col 29}1.368654
124.country{col 13}-.68426685{col 29}3.641
125.country{col 13}-5.6180518{col 29}-1.4343339
126.country{col 13}-2.1345007{col 29}-.60327354
127.country{col 13}.07117699{col 29}2.8585456
128.country{col 13}.30604669{col 29}1.5703555
129.country{col 13}-.30893491{col 29}2.4549665
130.country{col 13}-.366023{col 29}1.6763172
city_pop_share{col 13}-2.4342519{col 29}81.278081
_cons{col 13}-12.131153{col 29}-10.038241
{res}{hline 78}
{txt}
{com}. 
. ********************************************************
. *  40% of the reduced-form estimated effect at 90% CI  *
. ********************************************************
. 
. **Column 1**
. plausexog uci lead_polity i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.8) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}1100.year{col 13}-1.2639516{col 29}.55359999
1200.year{col 13}-1.0875672{col 29}.36719204
1300.year{col 13}-.5448221{col 29}.96915399
1400.year{col 13}-1.3569137{col 29}.3079372
1500.year{col 13}-1.132798{col 29}.25976071
1600.year{col 13}-1.4107903{col 29}.30128538
1700.year{col 13}-.88551149{col 29}.76128762
1750.year{col 13}.13413384{col 29}1.9320104
1800.year{col 13}1.0098572{col 29}2.9773521
1850.year{col 13}3.2600217{col 29}5.5518594
1900.year{col 13}6.685705{col 29}9.5346769
2.country{col 13}.75393159{col 29}1.868715
3.country{col 13}-2.998299{col 29}-1.5964017
4.country{col 13}-.42812881{col 29}.84660016
5.country{col 13}.77748854{col 29}1.87972
6.country{col 13}3.1799078{col 29}4.6101791
7.country{col 13}-1.2997476{col 29}1.1729997
8.country{col 13}2.4788917{col 29}3.6681667
9.country{col 13}-1.0862086{col 29}.31245964
10.country{col 13}-2.5908359{col 29}1.1646752
11.country{col 13}1.0064716{col 29}2.3227643
12.country{col 13}-.33552615{col 29}.90278729
13.country{col 13}.67046259{col 29}1.9049662
14.country{col 13}1.1731382{col 29}2.489431
15.country{col 13}.62239178{col 29}1.8974096
16.country{col 13}.25647155{col 29}1.5727643
17.country{col 13}.25867104{col 29}1.3416926
18.country{col 13}-2.5383682{col 29}-1.1469411
19.country{col 13}.05880479{col 29}1.1451136
20.country{col 13}.92313822{col 29}2.239431
21.country{col 13}.33980488{col 29}1.6560977
22.country{col 13}-.89553163{col 29}.19477402
23.country{col 13}-.32686178{col 29}.98943098
24.country{col 13}.18234565{col 29}1.3447432
25.country{col 13}.83980488{col 29}2.1560977
26.country{col 13}.71694038{col 29}1.840259
27.country{col 13}.22609154{col 29}1.166667
28.country{col 13}.05704791{col 29}2.222292
29.country{col 13}.67313822{col 29}1.989431
30.country{col 13}-6.3027318{col 29}-2.6868184
31.country{col 13}.08980488{col 29}1.4060977
32.country{col 13}.08980488{col 29}1.4060977
33.country{col 13}.20055164{col 29}1.0761965
34.country{col 13}.87958332{col 29}2.0771346
35.country{col 13}.92313822{col 29}2.239431
36.country{col 13}3.0162981{col 29}4.399651
37.country{col 13}2.0404713{col 29}3.9396106
38.country{col 13}.17313822{col 29}1.489431
39.country{col 13}.08980488{col 29}1.4060977
40.country{col 13}.62292732{col 29}2.2979079
41.country{col 13}.58402034{col 29}1.7982554
42.country{col 13}1.0054924{col 29}2.6706987
43.country{col 13}.42313822{col 29}1.739431
44.country{col 13}.92313822{col 29}2.239431
45.country{col 13}.35904481{col 29}1.2426374
46.country{col 13}-.32686178{col 29}.98943098
47.country{col 13}1.6739019{col 29}2.0807584
48.country{col 13}1.5107553{col 29}2.4502209
49.country{col 13}-4.4110449{col 29}-1.5705587
50.country{col 13}-7.2556524{col 29}-3.5690097
51.country{col 13}-2.981362{col 29}1.5332488
52.country{col 13}-1.4171995{col 29}.56738219
53.country{col 13}-2.1944071{col 29}.79823897
54.country{col 13}-.61097289{col 29}1.5831893
55.country{col 13}.33114055{col 29}1.569454
56.country{col 13}.25647155{col 29}1.5727643
57.country{col 13}-.15673876{col 29}1.1411837
58.country{col 13}-.23737371{col 29}1.0860492
59.country{col 13}2.5711906{col 29}3.3215639
60.country{col 13}-.07686178{col 29}1.239431
61.country{col 13}-1.4753838{col 29}-.76754182
62.country{col 13}-1.1821401{col 29}-.74961984
63.country{col 13}-1.1255036{col 29}-.08587263
64.country{col 13}-.41266529{col 29}-.31694118
65.country{col 13}.53480633{col 29}1.6844523
66.country{col 13}2.5064716{col 29}3.8227643
67.country{col 13}-.01680298{col 29}1.0712418
68.country{col 13}-4.5619904{col 29}-1.6002767
69.country{col 13}-5.6803141{col 29}-2.3244631
70.country{col 13}.61695643{col 29}1.7496484
71.country{col 13}.60461904{col 29}1.8267886
72.country{col 13}.51498522{col 29}1.5547281
73.country{col 13}.12224506{col 29}.50641236
74.country{col 13}.00647155{col 29}1.3227643
75.country{col 13}.18089708{col 29}1.0320111
76.country{col 13}1.4231382{col 29}2.739431
77.country{col 13}-9.0799375{col 29}-3.9564205
78.country{col 13}.61556268{col 29}1.7669267
79.country{col 13}-.56687863{col 29}.11747707
80.country{col 13}1.0064716{col 29}2.3227643
81.country{col 13}2.8758168{col 29}4.0058893
82.country{col 13}-1.9466009{col 29}1.4705856
83.country{col 13}3.3505183{col 29}4.5857346
84.country{col 13}-.89529205{col 29}-.1861256
85.country{col 13}-.29588155{col 29}-.10937451
86.country{col 13}3.9705134{col 29}4.6745429
87.country{col 13}.68528614{col 29}1.5383245
88.country{col 13}.73598185{col 29}1.6849732
89.country{col 13}.83980488{col 29}2.1560977
90.country{col 13}1.9727702{col 29}2.7733021
91.country{col 13}-.30897651{col 29}.6696642
92.country{col 13}-2.6575177{col 29}-.16487172
93.country{col 13}-.32686178{col 29}.98943098
94.country{col 13}.32999699{col 29}1.3980563
95.country{col 13}-.89440134{col 29}.50827311
96.country{col 13}.17313822{col 29}1.489431
97.country{col 13}-1.1969908{col 29}-.80510777
98.country{col 13}1.1731382{col 29}2.489431
99.country{col 13}1.6479349{col 29}2.7401532
100.country{col 13}.50647155{col 29}1.8227643
101.country{col 13}1.6772275{col 29}2.8480451
102.country{col 13}1.1684203{col 29}2.4062155
103.country{col 13}.50647155{col 29}1.8227643
104.country{col 13}.50647155{col 29}1.8227643
105.country{col 13}1.4066044{col 29}2.6334528
106.country{col 13}-2.0765879{col 29}.6196477
107.country{col 13}1.7028037{col 29}2.2896035
108.country{col 13}-.15149486{col 29}1.0793282
109.country{col 13}-.40919582{col 29}.67402576
110.country{col 13}2.1774132{col 29}2.9948265
111.country{col 13}5.1039263{col 29}5.8442529
112.country{col 13}-8.200741{col 29}-3.6207097
113.country{col 13}.48312805{col 29}1.6291474
114.country{col 13}-.32643636{col 29}.99152514
115.country{col 13}-4.400246{col 29}-1.3376851
116.country{col 13}-.32686178{col 29}.98943098
117.country{col 13}.33980488{col 29}1.6560977
118.country{col 13}-5.370552{col 29}-2.7176487
119.country{col 13}-5.1333068{col 29}-1.3259377
120.country{col 13}-5.6037711{col 29}-3.0349236
121.country{col 13}.1021266{col 29}1.1970999
122.country{col 13}-.70647699{col 29}.38195033
123.country{col 13}-.16019512{col 29}1.1560977
124.country{col 13}-2.3696036{col 29}1.9521336
125.country{col 13}-7.6024057{col 29}-3.8650577
126.country{col 13}-1.1112425{col 29}-.70583321
127.country{col 13}-.32686178{col 29}.98943098
128.country{col 13}.20251419{col 29}1.3615818
129.country{col 13}.06211646{col 29}1.385376
130.country{col 13}.02906339{col 29}1.1307043
city_pop_share{col 13}46.670586{col 29}106.506
_cons{col 13}-12.102965{col 29}-10.902285
{res}{hline 78}
{txt}
{com}. 
. **Column 2**
. plausexog uci lead_polity `ln_oworld_flexible' i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.8) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.184,0.184,0.184,0.184,0.184,0.184,0.184,0.184,0.184,0.184,0.184) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}ln_oworld_1100{col 13}-.21554876{col 29}.35966877
ln_oworld_1200{col 13}-.20102156{col 29}.12135038
ln_oworld_1300{col 13}-.2171398{col 29}.03316387
ln_oworld_1400{col 13}-.31766753{col 29}-.01772811
ln_oworld_1500{col 13}-.26931898{col 29}-.00949847
ln_oworld_1600{col 13}-.41258858{col 29}-.02704106
ln_oworld_1700{col 13}-.28850525{col 29}.04778311
ln_oworld_1750{col 13}-.15814452{col 29}.23154604
ln_oworld_1800{col 13}-.05497123{col 29}.41082754
ln_oworld_1850{col 13}.13486775{col 29}.70391206
ln_oworld_1900{col 13}.21710688{col 29}.89632548
1100.year{col 13}-2.9838239{col 29}1.1894785
1200.year{col 13}-1.0949475{col 29}.85546666
1300.year{col 13}-.03636845{col 29}1.4313498
1400.year{col 13}-.03668107{col 29}1.4316125
1500.year{col 13}-.05860546{col 29}1.1261337
1600.year{col 13}.14771036{col 29}1.8263516
1700.year{col 13}.07838463{col 29}1.708063
1750.year{col 13}-.07333783{col 29}1.7947949
1800.year{col 13}-.36342079{col 29}1.9642246
1850.year{col 13}-.10984651{col 29}3.0127831
1900.year{col 13}2.9297224{col 29}7.0524854
2.country{col 13}.27384005{col 29}1.4610414
3.country{col 13}-2.6838216{col 29}-1.3704028
4.country{col 13}-1.0850447{col 29}.39141668
5.country{col 13}.40092191{col 29}1.513718
6.country{col 13}3.2032608{col 29}4.4458762
7.country{col 13}-.68894337{col 29}1.7375115
8.country{col 13}1.7649811{col 29}3.5772072
9.country{col 13}-1.6795317{col 29}-.15807401
10.country{col 13}-1.5003963{col 29}2.3636473
11.country{col 13}.21022456{col 29}2.1987792
12.country{col 13}-.35850472{col 29}.59331078
13.country{col 13}.14944929{col 29}1.4620604
14.country{col 13}.5828649{col 29}2.2741406
15.country{col 13}.07548834{col 29}1.4430014
16.country{col 13}-.44318292{col 29}1.4048856
17.country{col 13}-.14932002{col 29}.95170617
18.country{col 13}-2.1540054{col 29}-.67881925
19.country{col 13}-.86859971{col 29}.93969429
20.country{col 13}-.13492407{col 29}2.2405568
21.country{col 13}-.49865868{col 29}1.5517592
22.country{col 13}-1.3850781{col 29}.01229983
23.country{col 13}-1.136777{col 29}.87177921
24.country{col 13}-.7749964{col 29}1.0503578
25.country{col 13}-.13710877{col 29}2.1177107
26.country{col 13}.23235245{col 29}1.4338964
27.country{col 13}.16277594{col 29}1.0839391
28.country{col 13}.53296973{col 29}2.6436235
29.country{col 13}.7663095{col 29}1.7799617
30.country{col 13}-5.1186871{col 29}-.90124072
31.country{col 13}-.32697193{col 29}1.1231406
32.country{col 13}-.0495995{col 29}1.0523471
33.country{col 13}-.12634903{col 29}.84721578
34.country{col 13}.33874014{col 29}1.6477832
35.country{col 13}1.0163095{col 29}2.0299617
36.country{col 13}2.4279{col 29}3.9854201
37.country{col 13}2.3177627{col 29}3.8986465
38.country{col 13}-.67555472{col 29}1.3898896
39.country{col 13}-.20907729{col 29}1.0853464
40.country{col 13}.80291757{col 29}2.2181891
41.country{col 13}-.29085591{col 29}1.7695135
42.country{col 13}1.3714506{col 29}2.8592629
43.country{col 13}-.40158632{col 29}1.6286714
44.country{col 13}.47823068{col 29}1.966625
45.country{col 13}.23396411{col 29}1.1409896
46.country{col 13}-.2336905{col 29}.77996167
47.country{col 13}1.2390173{col 29}2.047313
48.country{col 13}.78642171{col 29}2.5082511
49.country{col 13}-3.4444179{col 29}-.48888578
50.country{col 13}-6.0682666{col 29}-2.3269807
51.country{col 13}-1.5261113{col 29}3.0924628
52.country{col 13}-.89071603{col 29}1.273703
53.country{col 13}-1.4117427{col 29}1.3431864
54.country{col 13}-.13554166{col 29}1.8426166
55.country{col 13}.22635891{col 29}1.2178543
56.country{col 13}-.37250642{col 29}1.3739215
57.country{col 13}-.77673389{col 29}.66354371
58.country{col 13}-.04433763{col 29}1.2120508
59.country{col 13}2.5301025{col 29}3.2756693
60.country{col 13}.0163095{col 29}1.0299617
61.country{col 13}-1.2251586{col 29}-.47502383
62.country{col 13}-1.428617{col 29}-.5274377
63.country{col 13}-1.1347237{col 29}-.15591009
64.country{col 13}-.53477799{col 29}-.0065894
65.country{col 13}.11508776{col 29}1.310265
66.country{col 13}1.8514476{col 29}3.6352021
67.country{col 13}-.49597185{col 29}.67965646
68.country{col 13}-3.8087791{col 29}-.96162541
69.country{col 13}-4.6638468{col 29}-1.1043176
70.country{col 13}-.0560269{col 29}1.3655
71.country{col 13}.01802705{col 29}1.3745069
72.country{col 13}.16288824{col 29}1.3874739
73.country{col 13}-.23851104{col 29}.72865356
74.country{col 13}-.00892503{col 29}.97808919
75.country{col 13}-.15293692{col 29}.7758688
76.country{col 13}1.3909289{col 29}2.3888044
77.country{col 13}-7.5097849{col 29}-2.3575091
78.country{col 13}-.24054837{col 29}1.4393454
79.country{col 13}-.52207092{col 29}-.04551859
80.country{col 13}.62048123{col 29}2.0291506
81.country{col 13}2.3989705{col 29}3.7177413
82.country{col 13}-.91236884{col 29}2.6136713
83.country{col 13}3.5918236{col 29}4.636352
84.country{col 13}-.63479924{col 29}.14126063
85.country{col 13}-.79373314{col 29}.05199904
86.country{col 13}3.7269855{col 29}4.5656619
87.country{col 13}.75343631{col 29}1.6485802
88.country{col 13}.25681906{col 29}1.3429771
89.country{col 13}.24418622{col 29}1.9430549
90.country{col 13}1.4041159{col 29}2.8362182
91.country{col 13}-.71739436{col 29}.51047337
92.country{col 13}-2.0426887{col 29}.3745805
93.country{col 13}-.2336905{col 29}.77996167
94.country{col 13}-.12021043{col 29}1.1057538
95.country{col 13}-1.5350249{col 29}.18043509
96.country{col 13}-.00328686{col 29}1.1402799
97.country{col 13}-1.3065546{col 29}-.18787124
98.country{col 13}.69194908{col 29}2.2302426
99.country{col 13}1.200723{col 29}2.3976871
100.country{col 13}-.17209917{col 29}1.6455341
101.country{col 13}1.1837732{col 29}2.4273301
102.country{col 13}.66529952{col 29}1.9592378
103.country{col 13}.5029615{col 29}1.4835397
104.country{col 13}.16980662{col 29}1.5131882
105.country{col 13}.88444465{col 29}2.2116107
106.country{col 13}-1.2876507{col 29}1.2488161
107.country{col 13}1.3803814{col 29}2.3566898
108.country{col 13}-1.1208753{col 29}1.0869506
109.country{col 13}-.7802387{col 29}.28844138
110.country{col 13}1.8577676{col 29}2.8532991
111.country{col 13}4.856573{col 29}5.700712
112.country{col 13}-6.7582025{col 29}-2.0372952
113.country{col 13}-.01786749{col 29}1.3264907
114.country{col 13}-.98086966{col 29}.51936428
115.country{col 13}-3.3332529{col 29}-.41333348
116.country{col 13}-.77252628{col 29}.71690325
117.country{col 13}-.357387{col 29}1.487122
118.country{col 13}-4.608016{col 29}-1.8889501
119.country{col 13}-4.0051879{col 29}-.41549338
120.country{col 13}-4.7937143{col 29}-1.5681422
121.country{col 13}-.69693826{col 29}.96685929
122.country{col 13}-1.1874126{col 29}.15265599
123.country{col 13}-.06702383{col 29}.94662833
124.country{col 13}-1.1144486{col 29}3.0786098
125.country{col 13}-6.3025173{col 29}-2.5143596
126.country{col 13}-1.4460382{col 29}-.45947824
127.country{col 13}-.2336905{col 29}.77996167
128.country{col 13}.29728357{col 29}1.2421295
129.country{col 13}-.66668442{col 29}.91918832
130.country{col 13}-.45202004{col 29}.73035342
city_pop_share{col 13}23.291635{col 29}87.034267
_cons{col 13}-11.76959{col 29}-10.548101
{res}{hline 78}
{txt}
{com}. 
. **Column 3**
. plausexog uci lead_polity `ln_oworld_flexible' `ln_tropical_flexible' `ln_rugged_flexible' `ln_elevation_flexible' i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.8) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.096,0.096,0.096,0.096,0.096,0.096,0.096,0.096,0.096,0.096,0.096) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900 ln_tropical_1100 ln_tropical_1200 ln_tropical_1300 ln_tropical_1400 ln_tropical_1500 ln_tropical_1600 ln_tropical_1700 ln_tropical_1750 ln_tropical_1800 ln_tropical_1850 ln_tropical_1900 ln_rugged_1100 ln_rugged_1200 ln_rugged_1300 ln_rugged_1400 ln_rugged_1500 ln_rugged_1600 ln_rugged_1700 ln_rugged_1750 ln_rugged_1800 ln_rugged_1850 ln_rugged_1900 ln_elevation_1100 ln_elevation_1200 ln_elevation_1300 ln_elevation_1400 ln_elevation_1500 ln_elevation_1600 ln_elevation_1700 ln_elevation_1750 ln_elevation_1800 ln_elevation_1850 ln_elevation_1900 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}ln_oworld_1100{col 13}-.14294942{col 29}.3120141
ln_oworld_1200{col 13}-.14068364{col 29}.12067843
ln_oworld_1300{col 13}-.12946756{col 29}.08886872
ln_oworld_1400{col 13}-.24293593{col 29}.00445184
ln_oworld_1500{col 13}-.19133081{col 29}.01724895
ln_oworld_1600{col 13}-.26788161{col 29}-.00301446
ln_oworld_1700{col 13}-.19814384{col 29}.13201044
ln_oworld_1750{col 13}.0452353{col 29}.46003469
ln_oworld_1800{col 13}.27430581{col 29}.7792621
ln_oworld_1850{col 13}.6048158{col 29}1.1705203
ln_oworld_1900{col 13}.35388395{col 29}1.2728114
ln_tropical_1100{col 13}-.05562323{col 29}.07926442
ln_tropical_1200{col 13}-.05599495{col 29}.0694899
ln_tropical_1300{col 13}-.10284938{col 29}.05157391
ln_tropical_1400{col 13}-.04299101{col 29}.13279852
ln_tropical_1500{col 13}-.05535355{col 29}.08378449
ln_tropical_1600{col 13}-.13015984{col 29}.09051568
ln_tropical_1700{col 13}-.09503333{col 29}.0926353
ln_tropical_1750{col 13}-.28857517{col 29}-.05289481
ln_tropical_1800{col 13}-.4468402{col 29}-.15242665
ln_tropical_1850{col 13}-.54403306{col 29}-.16739426
ln_tropical_1900{col 13}-.36149797{col 29}.25799785
ln_rugged_1100{col 13}-.16153917{col 29}1.0763913
ln_rugged_1200{col 13}-.13983905{col 29}.49748466
ln_rugged_1300{col 13}-.09705218{col 29}.58941887
ln_rugged_1400{col 13}-.13339844{col 29}.86930649
ln_rugged_1500{col 13}-.16259184{col 29}.55651067
ln_rugged_1600{col 13}-.54338937{col 29}.49430327
ln_rugged_1700{col 13}-.09932376{col 29}.99218172
ln_rugged_1750{col 13}.19536792{col 29}1.46404
ln_rugged_1800{col 13}.88380403{col 29}2.445868
ln_rugged_1850{col 13}1.9860172{col 29}3.9808449
ln_rugged_1900{col 13}.3792731{col 29}2.68609
ln_elevation_1100{col 13}-.6525721{col 29}.07838715
ln_elevation_1200{col 13}-.36924011{col 29}.0782428
ln_elevation_1300{col 13}-.40362126{col 29}.08341446
ln_elevation_1400{col 13}-.35097102{col 29}.23770054
ln_elevation_1500{col 13}-.52052498{col 29}.11743879
ln_elevation_1600{col 13}-.33769613{col 29}.58440714
ln_elevation_1700{col 13}-.62456453{col 29}.24809057
ln_elevation_1750{col 13}-1.0974142{col 29}-.07961707
ln_elevation_1800{col 13}-1.6339119{col 29}-.44155892
ln_elevation_1850{col 13}-4.0358173{col 29}-1.8912883
ln_elevation_1900{col 13}-2.6561175{col 29}.02834649
1100.year{col 13}-.73867729{col 29}2.8689396
1200.year{col 13}-.36453886{col 29}1.8580777
1300.year{col 13}-.30470791{col 29}2.9529539
1400.year{col 13}-1.0458732{col 29}2.608678
1500.year{col 13}-.51536893{col 29}3.5101157
1600.year{col 13}-2.5204663{col 29}2.5607833
1700.year{col 13}-.81146447{col 29}4.1528998
1750.year{col 13}.98743053{col 29}6.702402
1800.year{col 13}2.7419818{col 29}9.6497623
1850.year{col 13}11.510514{col 29}24.451057
1900.year{col 13}4.4702506{col 29}20.342634
2.country{col 13}-.87261296{col 29}.65603476
3.country{col 13}-1.798002{col 29}-.86386879
4.country{col 13}-.67011531{col 29}1.3663006
5.country{col 13}.32612064{col 29}1.501178
6.country{col 13}4.3994051{col 29}6.6939121
7.country{col 13}-.79083525{col 29}1.6227209
8.country{col 13}.60512852{col 29}3.7191834
9.country{col 13}-2.1501501{col 29}.70330148
10.country{col 13}-.31859591{col 29}2.8918879
11.country{col 13}.70252166{col 29}3.5731953
12.country{col 13}-.53131466{col 29}.22039187
13.country{col 13}-.75652838{col 29}.85417491
14.country{col 13}1.027132{col 29}3.9153032
15.country{col 13}-.88110095{col 29}.93098726
16.country{col 13}-.06015473{col 29}2.4748498
17.country{col 13}.21473773{col 29}1.6823996
18.country{col 13}-2.1172748{col 29}-.54263054
19.country{col 13}-.52155902{col 29}1.699377
20.country{col 13}.67038255{col 29}3.4738535
21.country{col 13}-.11669878{col 29}2.1828448
22.country{col 13}-.86220008{col 29}.38905007
23.country{col 13}-.30208193{col 29}2.4867182
24.country{col 13}-.328507{col 29}2.101151
25.country{col 13}.12026886{col 29}2.8868235
26.country{col 13}-.90851569{col 29}.96426402
27.country{col 13}.12096046{col 29}.98521312
28.country{col 13}.72362272{col 29}2.316638
29.country{col 13}.29959785{col 29}1.6117308
30.country{col 13}-3.8529759{col 29}.1762211
31.country{col 13}-.01527531{col 29}1.8938127
32.country{col 13}-.6885152{col 29}.60169885
33.country{col 13}-.80316061{col 29}1.7683023
34.country{col 13}.59061101{col 29}2.2482976
35.country{col 13}.62074129{col 29}2.6271041
36.country{col 13}1.3713019{col 29}4.3209181
37.country{col 13}2.2743567{col 29}3.2820483
38.country{col 13}-.14525666{col 29}2.4991196
39.country{col 13}-1.7062887{col 29}1.1120471
40.country{col 13}.97000088{col 29}1.9521081
41.country{col 13}-.24017024{col 29}2.4275979
42.country{col 13}.65872072{col 29}2.1115163
43.country{col 13}-.36326717{col 29}1.7195982
44.country{col 13}-.93103424{col 29}1.7716018
45.country{col 13}-.1140637{col 29}1.3477174
46.country{col 13}-.30222912{col 29}1.0546808
47.country{col 13}1.2456726{col 29}2.6382341
48.country{col 13}.74639586{col 29}2.4704706
49.country{col 13}-3.0971811{col 29}.07383831
50.country{col 13}-5.1722002{col 29}-1.7748747
51.country{col 13}-.71785453{col 29}3.4429731
52.country{col 13}-1.0123672{col 29}.96848525
53.country{col 13}-1.5583443{col 29}1.0178136
54.country{col 13}-.44292541{col 29}1.3041015
55.country{col 13}.13029573{col 29}1.5800414
56.country{col 13}-.95050208{col 29}1.664958
57.country{col 13}-.35423166{col 29}1.8443967
58.country{col 13}-.4016557{col 29}.66926765
59.country{col 13}1.476449{col 29}2.5541615
60.country{col 13}-.04148643{col 29}2.2275993
61.country{col 13}-1.3950432{col 29}-.36695613
62.country{col 13}-1.7756807{col 29}-.73040767
63.country{col 13}-1.1871483{col 29}.56394481
64.country{col 13}-1.0825273{col 29}-.31766066
65.country{col 13}-.33892972{col 29}.72102898
66.country{col 13}2.0650934{col 29}4.5501239
67.country{col 13}-.83053916{col 29}1.4433126
68.country{col 13}-2.5039316{col 29}-.56952803
69.country{col 13}-4.3335083{col 29}-.59366186
70.country{col 13}-.18912126{col 29}1.7219653
71.country{col 13}.26595446{col 29}2.1395211
72.country{col 13}.01294501{col 29}1.6373738
73.country{col 13}.70388967{col 29}2.5834648
74.country{col 13}.3860176{col 29}3.0541342
75.country{col 13}-1.3269725{col 29}.47173378
76.country{col 13}1.774733{col 29}3.16536
77.country{col 13}-6.8852723{col 29}-1.4826956
78.country{col 13}-.3719916{col 29}1.9384853
79.country{col 13}-.95313955{col 29}.36536841
80.country{col 13}.50730507{col 29}2.3190677
81.country{col 13}1.6500789{col 29}2.8754991
82.country{col 13}.47192026{col 29}2.9700067
83.country{col 13}2.7290085{col 29}3.6685855
84.country{col 13}.62715327{col 29}2.090738
85.country{col 13}-.36369718{col 29}1.3033966
86.country{col 13}3.1285041{col 29}4.1309771
87.country{col 13}.69064606{col 29}1.9422885
88.country{col 13}-.36882659{col 29}1.027095
89.country{col 13}.26729506{col 29}1.8820055
90.country{col 13}.75096469{col 29}2.2573753
91.country{col 13}-1.0541682{col 29}.8291971
92.country{col 13}-1.8497171{col 29}.1284153
93.country{col 13}-1.1536636{col 29}1.5620472
94.country{col 13}-.90364358{col 29}.58700262
95.country{col 13}-2.2435765{col 29}-.43312129
96.country{col 13}.21860106{col 29}1.2811787
97.country{col 13}-.44898588{col 29}.69877408
98.country{col 13}-.01576734{col 29}2.7323217
99.country{col 13}.4421178{col 29}1.8875368
100.country{col 13}-.46298529{col 29}1.8375273
101.country{col 13}.23586367{col 29}1.9771761
102.country{col 13}-.3754515{col 29}1.3083654
103.country{col 13}.00251541{col 29}1.7770519
104.country{col 13}-.33574452{col 29}1.7067264
105.country{col 13}.82543945{col 29}2.24841
106.country{col 13}-1.0317604{col 29}1.3500601
107.country{col 13}1.1243437{col 29}2.6189017
108.country{col 13}-.7238166{col 29}1.5726555
109.country{col 13}-1.4867313{col 29}-.07133471
110.country{col 13}1.4733234{col 29}2.8117869
111.country{col 13}4.2586587{col 29}5.0511202
112.country{col 13}-5.4304141{col 29}-.88165808
113.country{col 13}-.58482938{col 29}.58905819
114.country{col 13}-.45134166{col 29}1.7303608
115.country{col 13}-3.0207396{col 29}.34015835
116.country{col 13}-1.1538422{col 29}.3931339
117.country{col 13}-.21653723{col 29}2.2723575
118.country{col 13}-3.9658488{col 29}-1.7191453
119.country{col 13}-3.7165332{col 29}-.01455473
120.country{col 13}-3.1388065{col 29}-.38209322
121.country{col 13}-.22387198{col 29}1.5911393
122.country{col 13}-1.8188883{col 29}.09288692
123.country{col 13}-.72483053{col 29}1.155809
124.country{col 13}-.32142966{col 29}3.2816315
125.country{col 13}-5.2619289{col 29}-1.7923136
126.country{col 13}-1.9743309{col 29}-.76812344
127.country{col 13}.30658073{col 29}2.5975885
128.country{col 13}.41435568{col 29}1.4589496
129.country{col 13}-.08527121{col 29}2.208077
130.country{col 13}-.20207189{col 29}1.5025502
city_pop_share{col 13}4.593626{col 29}74.267614
_cons{col 13}-11.934652{col 29}-10.211685
{res}{hline 78}
{txt}
{com}. 
. ********************************************************
. *  60% of the reduced-form estimated effect at 95% CI  *
. ********************************************************
. 
. **Column 1**
. plausexog uci lead_polity i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.9) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.30,0.30,0.30,0.30,0.30,0.30,0.30,0.30,0.30,0.30,0.30) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}1100.year{col 13}-2.1287287{col 29}.80031821
1200.year{col 13}-1.8730958{col 29}.54461918
1300.year{col 13}-1.2476835{col 29}1.2288188
1400.year{col 13}-2.2131207{col 29}.52928461
1500.year{col 13}-1.9170359{col 29}.42946484
1600.year{col 13}-2.2801357{col 29}.52652719
1700.year{col 13}-1.7433284{col 29}.95444431
1750.year{col 13}-.71790069{col 29}2.1409375
1800.year{col 13}.16575965{col 29}3.1920792
1850.year{col 13}2.4059549{col 29}5.8270824
1900.year{col 13}5.7862988{col 29}9.9273129
2.country{col 13}.26414482{col 29}2.0551768
3.country{col 13}-3.7388118{col 29}-1.3698164
4.country{col 13}-1.2221931{col 29}.93364969
5.country{col 13}.31125766{col 29}2.0815476
6.country{col 13}2.0984508{col 29}4.6888325
7.country{col 13}-2.4963706{col 29}1.6239163
8.country{col 13}2.2750623{col 29}4.2715554
9.country{col 13}-2.0965685{col 29}.37634935
10.country{col 13}-4.1215683{col 29}1.9902717
11.country{col 13}.76893457{col 29}2.9650827
12.country{col 13}-.58172742{col 29}1.4584628
13.country{col 13}-.0900996{col 29}1.9922479
14.country{col 13}.93560124{col 29}3.1317494
15.country{col 13}-.23748004{col 29}1.965715
16.country{col 13}.01893457{col 29}2.2150827
17.country{col 13}-.14397462{col 29}1.5888264
18.country{col 13}-2.8047426{col 29}-.57244579
19.country{col 13}-.2942673{col 29}1.4474952
20.country{col 13}.68560124{col 29}2.8817494
21.country{col 13}.1022679{col 29}2.298416
22.country{col 13}-1.9769577{col 29}.19623503
23.country{col 13}-.56439876{col 29}1.6317494
24.country{col 13}-.37912447{col 29}1.5058676
25.country{col 13}.6022679{col 29}2.798416
26.country{col 13}.01968974{col 29}1.9178495
27.country{col 13}-.55417345{col 29}1.194027
28.country{col 13}-1.0778219{col 29}2.5764
29.country{col 13}.43560124{col 29}2.6317494
30.country{col 13}-7.3020014{col 29}-1.5048323
31.country{col 13}-.1477321{col 29}2.048416
32.country{col 13}-.1477321{col 29}2.048416
33.country{col 13}-.46673349{col 29}1.1104787
34.country{col 13}.04865113{col 29}2.1374555
35.country{col 13}.68560124{col 29}2.8817494
36.country{col 13}2.2294075{col 29}4.5954088
37.country{col 13}.82708039{col 29}4.1481981
38.country{col 13}-.06439876{col 29}2.1317494
39.country{col 13}-.1477321{col 29}2.048416
40.country{col 13}-.51742457{col 29}2.4490378
41.country{col 13}.37356714{col 29}2.4092941
42.country{col 13}.09943754{col 29}2.9274622
43.country{col 13}.18560124{col 29}2.3817494
44.country{col 13}.68560124{col 29}2.8817494
45.country{col 13}-.39615757{col 29}1.2637617
46.country{col 13}-.56439876{col 29}1.6317494
47.country{col 13}1.3188863{col 29}2.0892879
48.country{col 13}1.3732197{col 29}2.9770453
49.country{col 13}-5.254185{col 29}-.69617812
50.country{col 13}-8.5638246{col 29}-2.6188139
51.country{col 13}-4.5685352{col 29}2.7087444
52.country{col 13}-2.2573805{col 29}.98730475
53.country{col 13}-3.6340146{col 29}1.3479889
54.country{col 13}-1.8104679{col 29}1.9188799
55.country{col 13}.08493922{col 29}2.1251294
56.country{col 13}.01893457{col 29}2.2150827
57.country{col 13}-.89185834{col 29}1.2617419
58.country{col 13}-1.0741167{col 29}1.235528
59.country{col 13}1.9467111{col 29}3.34305
60.country{col 13}-.31439876{col 29}1.8817494
61.country{col 13}-1.5304877{col 29}-.34578859
62.country{col 13}-1.1916077{col 29}-.37464197
63.country{col 13}-1.9600145{col 29}-.05135933
64.country{col 13}-.45957886{col 29}-.29976167
65.country{col 13}-.00753644{col 29}1.8519525
66.country{col 13}2.2689346{col 29}4.4650827
67.country{col 13}-.44430336{col 29}1.2979249
68.country{col 13}-5.9827637{col 29}-1.0543589
69.country{col 13}-6.9588123{col 29}-1.5300428
70.country{col 13}.0091985{col 29}1.8718012
71.country{col 13}-.03580864{col 29}1.9662852
72.country{col 13}.35083827{col 29}2.1122866
73.country{col 13}.11905119{col 29}.87116775
74.country{col 13}-.23106543{col 29}1.9650827
75.country{col 13}-.42316099{col 29}1.0726598
76.country{col 13}1.1856012{col 29}3.3817494
77.country{col 13}-11.070851{col 29}-2.7704111
78.country{col 13}.07064417{col 29}1.9335683
79.country{col 13}-1.0036905{col 29}.19284476
80.country{col 13}.76893457{col 29}2.9650827
81.country{col 13}2.6298293{col 29}4.4704774
82.country{col 13}-3.2721497{col 29}2.2637451
83.country{col 13}2.6598158{col 29}4.7566503
84.country{col 13}-.95070462{col 29}.23583396
85.country{col 13}-.46939844{col 29}-.10723705
86.country{col 13}3.4795882{col 29}4.7096055
87.country{col 13}.57068631{col 29}2.0386598
88.country{col 13}.27605074{col 29}1.815548
89.country{col 13}.6022679{col 29}2.798416
90.country{col 13}1.8721044{col 29}3.2575446
91.country{col 13}-1.2603435{col 29}.67415166
92.country{col 13}-3.8737939{col 29}.28498356
93.country{col 13}-.56439876{col 29}1.6317494
94.country{col 13}-.55965274{col 29}1.4274104
95.country{col 13}-2.1891554{col 29}.52602974
96.country{col 13}-.06439876{col 29}2.1317494
97.country{col 13}-1.2013418{col 29}-.43966946
98.country{col 13}.93560124{col 29}3.1317494
99.country{col 13}.84220115{col 29}2.7872895
100.country{col 13}.26893457{col 29}2.4650827
101.country{col 13}.96326219{col 29}2.9334204
102.country{col 13}.50845977{col 29}2.5418055
103.country{col 13}.26893457{col 29}2.4650827
104.country{col 13}.26893457{col 29}2.4650827
105.country{col 13}.53783968{col 29}2.6923694
106.country{col 13}-3.2318228{col 29}1.1835444
107.country{col 13}1.6588575{col 29}2.7083391
108.country{col 13}-.36635013{col 29}1.6954509
109.country{col 13}-.81304119{col 29}.92015981
110.country{col 13}1.4110184{col 29}3.0032209
111.country{col 13}4.4986832{col 29}5.8664787
112.country{col 13}-9.8804099{col 29}-2.484068
113.country{col 13}.22178278{col 29}2.0799181
114.country{col 13}-1.1731909{col 29}1.06998
115.country{col 13}-5.2179615{col 29}-.30993293
116.country{col 13}-.56439876{col 29}1.6317494
117.country{col 13}.1022679{col 29}2.298416
118.country{col 13}-6.4667368{col 29}-2.1433937
119.country{col 13}-6.7441219{col 29}-.51982255
120.country{col 13}-6.2594561{col 29}-2.1449535
121.country{col 13}-.207624{col 29}1.5514672
122.country{col 13}-1.7268914{col 29}.39314072
123.country{col 13}-.3977321{col 29}1.798416
124.country{col 13}-4.202915{col 29}2.8648132
125.country{col 13}-8.6415179{col 29}-2.6492245
126.country{col 13}-1.1170248{col 29}-.33556816
127.country{col 13}-.56439876{col 29}1.6317494
128.country{col 13}.00670117{col 29}1.9557121
129.country{col 13}-.7073866{col 29}1.4996015
130.country{col 13}-.43559265{col 29}1.3335161
city_pop_share{col 13}29.980018{col 29}126.1606
_cons{col 13}-12.403082{col 29}-10.6003
{res}{hline 78}
{txt}
{com}. 
. **Column 2**
. plausexog uci lead_polity `ln_oworld_flexible' i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.9) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.336,0.336,0.336,0.336,0.336,0.336,0.336,0.336,0.336,0.336,0.336) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}ln_oworld_1100{col 13}-.40871385{col 29}.48239794
ln_oworld_1200{col 13}-.34969926{col 29}.17058556
ln_oworld_1300{col 13}-.35893607{col 29}.0586632
ln_oworld_1400{col 13}-.47865715{col 29}.00311158
ln_oworld_1500{col 13}-.41822564{col 29}.00337737
ln_oworld_1600{col 13}-.60032387{col 29}.00192868
ln_oworld_1700{col 13}-.44672441{col 29}.08457596
ln_oworld_1750{col 13}-.31664184{col 29}.2803976
ln_oworld_1800{col 13}-.22192208{col 29}.47345243
ln_oworld_1850{col 13}-.04441546{col 29}.78198829
ln_oworld_1900{col 13}.03320058{col 29}.98288425
1100.year{col 13}-4.0413019{col 29}2.1748312
1200.year{col 13}-1.5350024{col 29}1.4049994
1300.year{col 13}-.24022546{col 29}1.9961385
1400.year{col 13}-.23353327{col 29}1.9974535
1500.year{col 13}-.22775139{col 29}1.5978081
1600.year{col 13}-.03744926{col 29}2.4609111
1700.year{col 13}-.09470839{col 29}2.250416
1750.year{col 13}-.31826564{col 29}2.3425103
1800.year{col 13}-.71027788{col 29}2.5580936
1850.year{col 13}-.57165985{col 29}3.7183627
1900.year{col 13}2.2519455{col 29}7.8222367
2.country{col 13}-.19318241{col 29}1.6453579
3.country{col 13}-3.2714658{col 29}-1.1500157
4.country{col 13}-1.6336161{col 29}.61864145
5.country{col 13}-.12471734{col 29}1.617356
6.country{col 13}2.4782576{col 29}4.515313
7.country{col 13}-1.6942889{col 29}2.1895433
8.country{col 13}1.5173752{col 29}4.4489983
9.country{col 13}-2.435333{col 29}-.05357606
10.country{col 13}-2.8646418{col 29}3.2252468
11.country{col 13}-.07541148{col 29}3.1310104
12.country{col 13}-.62855218{col 29}.83148576
13.country{col 13}-.47786759{col 29}1.5707244
14.country{col 13}.31699704{col 29}3.043866
15.country{col 13}-.57790013{col 29}1.5520574
16.country{col 13}-.71950763{col 29}2.2608517
17.country{col 13}-.56657582{col 29}1.1438047
18.country{col 13}-2.2508803{col 29}.07801667
19.country{col 13}-1.2161942{col 29}1.5989482
20.country{col 13}-.44619704{col 29}3.3795117
21.country{col 13}-.78838919{col 29}2.5173338
22.country{col 13}-2.1512132{col 29}.09550212
23.country{col 13}-1.423737{col 29}1.8148055
24.country{col 13}-1.2029625{col 29}1.5887284
25.country{col 13}-.44037451{col 29}3.1926197
26.country{col 13}-.31680401{col 29}1.5489225
27.country{col 13}-.42157086{col 29}1.122382
28.country{col 13}-.41784099{col 29}2.9948128
29.country{col 13}.45065583{col 29}1.9749646
30.country{col 13}-6.2971412{col 29}.25626736
31.country{col 13}-.57636746{col 29}1.7567019
32.country{col 13}-.27229104{col 29}1.4722684
33.country{col 13}-.69510906{col 29}.89615746
34.country{col 13}-.23537466{col 29}1.7820973
35.country{col 13}.70065583{col 29}2.2249646
36.country{col 13}1.7586889{col 29}4.2197623
37.country{col 13}1.4896219{col 29}4.0724383
38.country{col 13}-.96627966{col 29}2.3635437
39.country{col 13}-.4472428{col 29}1.6270448
40.country{col 13}.00663014{col 29}2.3370439
41.country{col 13}-.56007072{col 29}2.7675231
42.country{col 13}.69693073{col 29}3.1018431
43.country{col 13}-.68998262{col 29}2.5833945
44.country{col 13}.22616651{col 29}2.6221898
45.country{col 13}-.32216045{col 29}1.1830279
46.country{col 13}-.54934417{col 29}.97496461
47.country{col 13}1.1074597{col 29}2.299257
48.country{col 13}.59659293{col 29}3.3971969
49.country{col 13}-4.1879061{col 29}.41696509
50.country{col 13}-7.179216{col 29}-1.3239504
51.country{col 13}-2.8972069{col 29}4.3295096
52.country{col 13}-1.7144662{col 29}1.7142716
53.country{col 13}-2.5085092{col 29}1.8806728
54.country{col 13}-1.0411058{col 29}2.1608956
55.country{col 13}-.02264057{col 29}1.5252717
56.country{col 13}-.64206502{col 29}2.1741407
57.country{col 13}-1.3571791{col 29}.85701406
58.country{col 13}-.7323258{col 29}1.3521571
59.country{col 13}2.0316331{col 29}3.3011585
60.country{col 13}-.29934417{col 29}1.2249646
61.country{col 13}-1.2810822{col 29}-.10427925
62.country{col 13}-1.4616653{col 29}.06450048
63.country{col 13}-1.7701925{col 29}-.11615288
64.country{col 13}-.80043225{col 29}.04032354
65.country{col 13}-.48960909{col 29}1.3960491
66.country{col 13}1.5793998{col 29}4.4559571
67.country{col 13}-.91740034{col 29}.90648145
68.country{col 13}-4.9655766{col 29}-.418413
69.country{col 13}-5.8574313{col 29}-.27165557
70.country{col 13}-.51465364{col 29}1.6602105
71.country{col 13}-.51320598{col 29}1.5762872
72.country{col 13}-.01456263{col 29}1.9793197
73.country{col 13}-.2785797{col 29}1.3493013
74.country{col 13}-.23133113{col 29}1.3025498
75.country{col 13}-.66047412{col 29}.82974957
76.country{col 13}1.1713296{col 29}2.7259251
77.country{col 13}-9.2085437{col 29}-1.1181477
78.country{col 13}-.66819835{col 29}1.9043155
79.country{col 13}-.67781974{col 29}.00675194
80.country{col 13}.37400907{col 29}2.6386695
81.country{col 13}2.1348639{col 29}4.220947
82.country{col 13}-2.0948475{col 29}3.4415713
83.country{col 13}3.1184745{col 29}4.7942829
84.country{col 13}-.72751927{col 29}.46788897
85.country{col 13}-.87643011{col 29}.41364903
86.country{col 13}3.1819035{col 29}4.5964205
87.country{col 13}.42356847{col 29}1.7429634
88.country{col 13}-.13451883{col 29}1.5390037
89.country{col 13}-.0221908{col 29}2.7169898
90.country{col 13}1.2623044{col 29}3.6072469
91.country{col 13}-1.4289432{col 29}.57521754
92.country{col 13}-3.0477681{col 29}.82307895
93.country{col 13}-.54934417{col 29}.97496461
94.country{col 13}-.77011588{col 29}1.1822095
95.country{col 13}-2.4172949{col 29}.29435699
96.country{col 13}-.22960832{col 29}1.5868051
97.country{col 13}-1.7320097{col 29}-.0598156
98.country{col 13}.43644414{col 29}2.9142335
99.country{col 13}.57458637{col 29}2.4732841
100.country{col 13}-.44640156{col 29}2.4848632
101.country{col 13}.59009249{col 29}2.5313841
102.country{col 13}.06026891{col 29}2.079031
103.country{col 13}.27854973{col 29}1.7982587
104.country{col 13}-.07197026{col 29}2.0842694
105.country{col 13}.23224656{col 29}2.3041463
106.country{col 13}-2.1767332{col 29}1.8219402
107.country{col 13}1.3131105{col 29}2.941005
108.country{col 13}-1.4033124{col 29}2.158957
109.country{col 13}-1.2154251{col 29}.44677842
110.country{col 13}1.2591688{col 29}2.9009222
111.country{col 13}4.3055649{col 29}5.731089
112.country{col 13}-8.2403921{col 29}-.84175529
113.country{col 13}-.29551082{col 29}1.8251591
114.country{col 13}-1.5604182{col 29}.72784053
115.country{col 13}-3.8213468{col 29}.71943764
116.country{col 13}-1.0246622{col 29}1.3730606
117.country{col 13}-.63347532{col 29}2.3411447
118.country{col 13}-5.5799773{col 29}-1.2900999
119.country{col 13}-5.2444077{col 29}.40794011
120.country{col 13}-5.7210246{col 29}-.72083063
121.country{col 13}-1.0200081{col 29}1.5848351
122.country{col 13}-1.9080656{col 29}.23502583
123.country{col 13}-.3826775{col 29}1.1416313
124.country{col 13}-2.6012397{col 29}4.0140689
125.country{col 13}-7.138181{col 29}-1.2377259
126.country{col 13}-1.4861544{col 29}.16952103
127.country{col 13}-.54934417{col 29}.97496461
128.country{col 13}-.01036238{col 29}1.397133
129.country{col 13}-1.2218019{col 29}1.1987446
130.country{col 13}-.89944189{col 29}.93129575
city_pop_share{col 13}5.9863972{col 29}105.53745
_cons{col 13}-12.10723{col 29}-10.272249
{res}{hline 78}
{txt}
{com}. 
. **Column 3**
. plausexog uci lead_polity `ln_oworld_flexible' `ln_tropical_flexible' `ln_rugged_flexible' `ln_elevation_flexible' i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.9) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.144,0.144,0.144,0.144,0.144,0.144,0.144,0.144,0.144,0.144,0.144) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900 ln_tropical_1100 ln_tropical_1200 ln_tropical_1300 ln_tropical_1400 ln_tropical_1500 ln_tropical_1600 ln_tropical_1700 ln_tropical_1750 ln_tropical_1800 ln_tropical_1850 ln_tropical_1900 ln_rugged_1100 ln_rugged_1200 ln_rugged_1300 ln_rugged_1400 ln_rugged_1500 ln_rugged_1600 ln_rugged_1700 ln_rugged_1750 ln_rugged_1800 ln_rugged_1850 ln_rugged_1900 ln_elevation_1100 ln_elevation_1200 ln_elevation_1300 ln_elevation_1400 ln_elevation_1500 ln_elevation_1600 ln_elevation_1700 ln_elevation_1750 ln_elevation_1800 ln_elevation_1850 ln_elevation_1900 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}ln_oworld_1100{col 13}-.24947708{col 29}.38751061
ln_oworld_1200{col 13}-.21819754{col 29}.15379494
ln_oworld_1300{col 13}-.19934213{col 29}.11575112
ln_oworld_1400{col 13}-.32443241{col 29}.02383752
ln_oworld_1500{col 13}-.26393746{col 29}.03681548
ln_oworld_1600{col 13}-.35218553{col 29}.01752495
ln_oworld_1700{col 13}-.28663958{col 29}.16870245
ln_oworld_1750{col 13}-.0526105{col 29}.51073049
ln_oworld_1800{col 13}.16342904{col 29}.84389642
ln_oworld_1850{col 13}.48774064{col 29}1.2443925
ln_oworld_1900{col 13}.18637612{col 29}1.4047271
ln_tropical_1100{col 13}-.07377122{col 29}.11863943
ln_tropical_1200{col 13}-.07243032{col 29}.10648402
ln_tropical_1300{col 13}-.12771785{col 29}.08550559
ln_tropical_1400{col 13}-.06786309{col 29}.1824716
ln_tropical_1500{col 13}-.07555785{col 29}.12344607
ln_tropical_1600{col 13}-.16797047{col 29}.14303714
ln_tropical_1700{col 13}-.11621489{col 29}.14138205
ln_tropical_1750{col 13}-.31759932{col 29}-.00056072
ln_tropical_1800{col 13}-.48639463{col 29}-.09352377
ln_tropical_1850{col 13}-.59561513{col 29}-.09862849
ln_tropical_1900{col 13}-.45882469{col 29}.36804812
ln_rugged_1100{col 13}-.34475905{col 29}1.3191123
ln_rugged_1200{col 13}-.27001904{col 29}.61410516
ln_rugged_1300{col 13}-.20196412{col 29}.73058309
ln_rugged_1400{col 13}-.27531599{col 29}1.0748239
ln_rugged_1500{col 13}-.30128762{col 29}.7032459
ln_rugged_1600{col 13}-.77075707{col 29}.68146823
ln_rugged_1700{col 13}-.25156307{col 29}1.1997633
ln_rugged_1750{col 13}.01245155{col 29}1.6758128
ln_rugged_1800{col 13}.65540654{col 29}2.6898664
ln_rugged_1850{col 13}1.6881095{col 29}4.280421
ln_rugged_1900{col 13}.02436551{col 29}3.036881
ln_elevation_1100{col 13}-.7959144{col 29}.17781483
ln_elevation_1200{col 13}-.45381478{col 29}.15992901
ln_elevation_1300{col 13}-.50767479{col 29}.17661166
ln_elevation_1400{col 13}-.46743865{col 29}.3631191
ln_elevation_1500{col 13}-.65477611{col 29}.23302574
ln_elevation_1600{col 13}-.49895395{col 29}.79128471
ln_elevation_1700{col 13}-.74401839{col 29}.42324003
ln_elevation_1750{col 13}-1.2564579{col 29}.10620867
ln_elevation_1800{col 13}-1.8262005{col 29}-.24259275
ln_elevation_1850{col 13}-4.357152{col 29}-1.5601161
ln_elevation_1900{col 13}-3.0908061{col 29}.50151564
1100.year{col 13}-1.3781185{col 29}3.6567339
1200.year{col 13}-.76346843{col 29}2.3460458
1300.year{col 13}-.74466375{col 29}3.6732625
1400.year{col 13}-1.7425601{col 29}3.4228899
1500.year{col 13}-1.0598619{col 29}4.414586
1600.year{col 13}-3.5682775{col 29}3.5842908
1700.year{col 13}-1.7686171{col 29}4.8374628
1750.year{col 13}-.01906689{col 29}7.5918738
1800.year{col 13}1.6374005{col 29}10.751505
1850.year{col 13}9.5615924{col 29}26.363531
1900.year{col 13}1.7091326{col 29}22.947067
2.country{col 13}-1.1738334{col 29}.8950969
3.country{col 13}-2.0371022{col 29}-.76669259
4.country{col 13}-1.1616463{col 29}1.5991174
5.country{col 13}.03028875{col 29}1.6306443
6.country{col 13}3.7943334{col 29}6.9099662
7.country{col 13}-1.2849861{col 29}1.9975833
8.country{col 13}.13109472{col 29}4.3450773
9.country{col 13}-2.7437523{col 29}1.1103607
10.country{col 13}-.95269026{col 29}3.4171119
11.country{col 13}.26696311{col 29}4.1248541
12.country{col 13}-.68666034{col 29}.31981484
13.country{col 13}-1.1091965{col 29}1.0710693
14.country{col 13}.61070117{col 29}4.5083169
15.country{col 13}-1.2698181{col 29}1.1845609
16.country{col 13}-.45135755{col 29}2.9558062
17.country{col 13}-.16270311{col 29}1.8384688
18.country{col 13}-2.3981235{col 29}-.30265134
19.country{col 13}-.9035699{col 29}2.0735102
20.country{col 13}.27223083{col 29}4.0340442
21.country{col 13}-.45585639{col 29}2.6382822
22.country{col 13}-1.2479341{col 29}.48272131
23.country{col 13}-.71829495{col 29}3.0175376
24.country{col 13}-.79042124{col 29}2.4646842
25.country{col 13}-.28685282{col 29}3.4394775
26.country{col 13}-1.2962178{col 29}1.2423251
27.country{col 13}-.11172753{col 29}1.0653235
28.country{col 13}.32625716{col 29}2.488146
29.country{col 13}.01954768{col 29}1.7878881
30.country{col 13}-4.5611005{col 29}.89944983
31.country{col 13}-.33048351{col 29}2.2357801
32.country{col 13}-.90623813{col 29}.8513286
33.country{col 13}-1.3337858{col 29}2.1429266
34.country{col 13}.14496349{col 29}2.4064867
35.country{col 13}.13517821{col 29}2.8552575
36.country{col 13}.77731243{col 29}4.7731762
37.country{col 13}2.0074522{col 29}3.3829038
38.country{col 13}-.5391354{col 29}3.0131699
39.country{col 13}-2.1675566{col 29}1.6436685
40.country{col 13}.71533117{col 29}2.0469017
41.country{col 13}-.63376628{col 29}2.9615365
42.country{col 13}.33988708{col 29}2.3024392
43.country{col 13}-.66709214{col 29}2.1416871
44.country{col 13}-1.3556029{col 29}2.2982183
45.country{col 13}-.43440106{col 29}1.542842
46.country{col 13}-.60129817{col 29}1.2321676
47.country{col 13}.94693454{col 29}2.824371
48.country{col 13}.53015304{col 29}2.8376528
49.country{col 13}-3.599383{col 29}.69678052
50.country{col 13}-5.7574312{col 29}-1.1484702
51.country{col 13}-1.4373039{col 29}4.2043087
52.country{col 13}-1.4232154{col 29}1.2645651
53.country{col 13}-2.0742993{col 29}1.4282665
54.country{col 13}-.84661002{col 29}1.5331914
55.country{col 13}-.14512491{col 29}1.8177791
56.country{col 13}-1.3489071{col 29}2.2111062
57.country{col 13}-.88791527{col 29}2.0950656
58.country{col 13}-.6806335{col 29}.77957147
59.country{col 13}1.2416309{col 29}2.7005733
60.country{col 13}-.4994127{col 29}2.5631722
61.country{col 13}-1.5252906{col 29}-.13222117
62.country{col 13}-1.9505985{col 29}-.5218449
63.country{col 13}-1.5709293{col 29}.79332677
64.country{col 13}-1.2644824{col 29}-.23688219
65.country{col 13}-.60511049{col 29}.83313483
66.country{col 13}1.6765825{col 29}5.0204424
67.country{col 13}-1.2752478{col 29}1.7986329
68.country{col 13}-2.9561745{col 29}-.3175853
69.country{col 13}-5.0224206{col 29}.05620676
70.country{col 13}-.61401212{col 29}1.9721886
71.country{col 13}-.18394971{col 29}2.3584077
72.country{col 13}-.23768698{col 29}1.9345355
73.country{col 13}.47208809{col 29}2.9552012
74.country{col 13}-.07764129{col 29}3.5081077
75.country{col 13}-1.6978226{col 29}.73852477
76.country{col 13}1.5258575{col 29}3.3994217
77.country{col 13}-7.8563259{col 29}-.51945598
78.country{col 13}-.82216912{col 29}2.2851794
79.country{col 13}-1.2926258{col 29}.50284929
80.country{col 13}.22554368{col 29}2.6882123
81.country{col 13}1.4712303{col 29}3.1443714
82.country{col 13}-.06367505{col 29}3.3131602
83.country{col 13}2.5205218{col 29}3.7800556
84.country{col 13}.32931014{col 29}2.3145528
85.country{col 13}-.66362978{col 29}1.5642626
86.country{col 13}2.8698412{col 29}4.2374603
87.country{col 13}.40729249{col 29}2.0989522
88.country{col 13}-.64839431{col 29}1.2417983
89.country{col 13}.02668324{col 29}2.194153
90.country{col 13}.58568458{col 29}2.603171
91.country{col 13}-1.4711042{col 29}1.0769952
92.country{col 13}-2.2777733{col 29}.4194676
93.country{col 13}-1.6816409{col 29}1.9902951
94.country{col 13}-1.2297561{col 29}.7879002
95.country{col 13}-2.6387247{col 29}-.19226325
96.country{col 13}-.00175978{col 29}1.4329506
97.country{col 13}-.74728671{col 29}.81498923
98.country{col 13}-.46326579{col 29}3.2464621
99.country{col 13}.11932603{col 29}2.0776884
100.country{col 13}-.81664353{col 29}2.2902899
101.country{col 13}-.13992896{col 29}2.2194005
102.country{col 13}-.741532{col 29}1.5388177
103.country{col 13}-.37727123{col 29}2.0250809
104.country{col 13}-.66863714{col 29}2.1113204
105.country{col 13}.454242{col 29}2.3941638
106.country{col 13}-1.4726472{col 29}1.763968
107.country{col 13}.9361939{col 29}2.9346408
108.country{col 13}-1.0451483{col 29}2.0445782
109.country{col 13}-1.8054229{col 29}.11193614
110.country{col 13}1.162187{col 29}2.9787663
111.country{col 13}4.0531435{col 29}5.1264035
112.country{col 13}-6.2424381{col 29}-.06427333
113.country{col 13}-.76024982{col 29}.840955
114.country{col 13}-.98075442{col 29}1.9775373
115.country{col 13}-3.5721005{col 29}.97437447
116.country{col 13}-1.3923964{col 29}.69709434
117.country{col 13}-.60150766{col 29}2.752127
118.country{col 13}-4.4127871{col 29}-1.3555791
119.country{col 13}-4.3890015{col 29}.6402942
120.country{col 13}-3.6694956{col 29}.06482026
121.country{col 13}-.5395094{col 29}1.8926667
122.country{col 13}-2.2307418{col 29}.3541868
123.country{col 13}-1.1071647{col 29}1.4332802
124.country{col 13}-1.0122754{col 29}3.8884941
125.country{col 13}-5.7699179{col 29}-1.0731081
126.country{col 13}-2.1579445{col 29}-.50390494
127.country{col 13}-.14853399{col 29}2.9318601
128.country{col 13}.16237577{col 29}1.5758371
129.country{col 13}-.58882594{col 29}2.5041166
130.country{col 13}-.61612171{col 29}1.6994031
city_pop_share{col 13}-8.3388147{col 29}86.220672
_cons{col 13}-12.218017{col 29}-9.8935049
{res}{hline 78}
{txt}
{com}. 
. 
. ********************************************************
. *  60% of the reduced-form estimated effect at 90% CI  *
. ********************************************************
. 
. **Column 1**
. plausexog uci lead_polity i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.8) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.30,0.30,0.30,0.30,0.30,0.30,0.30,0.30,0.30,0.30,0.30) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}1100.year{col 13}-1.9224139{col 29}.60854466
1200.year{col 13}-1.7256886{col 29}.40676128
1300.year{col 13}-1.1326654{col 29}1.0812613
1400.year{col 13}-2.0318332{col 29}.35596275
1500.year{col 13}-1.7789086{col 29}.30029925
1600.year{col 13}-2.0916216{col 29}.34699072
1700.year{col 13}-1.5683258{col 29}.78297472
1750.year{col 13}-.52776453{col 29}1.9497303
1800.year{col 13}.37182416{col 29}2.9948263
1850.year{col 13}2.6551315{col 29}5.5706154
1900.year{col 13}6.0977359{col 29}9.6222371
2.country{col 13}.34180847{col 29}1.9531356
3.country{col 13}-3.6360341{col 29}-1.4459334
4.country{col 13}-1.1456054{col 29}.85075474
5.country{col 13}.38892131{col 29}1.97644
6.country{col 13}2.1623113{col 29}4.6415376
7.country{col 13}-2.3013085{col 29}1.4794537
8.country{col 13}2.341946{col 29}4.181245
9.country{col 13}-2.0342054{col 29}.31245964
10.country{col 13}-3.7837911{col 29}1.7461102
11.country{col 13}.8453382{col 29}2.8619179
12.country{col 13}-.50532379{col 29}1.355298
13.country{col 13}-.01486506{col 29}1.9108175
14.country{col 13}1.0120049{col 29}3.0285846
15.country{col 13}-.17080679{col 29}1.8974096
16.country{col 13}.0953382{col 29}2.1119179
17.country{col 13}-.06838091{col 29}1.4837188
18.country{col 13}-2.6714601{col 29}-.67092784
19.country{col 13}-.2192168{col 29}1.3409997
20.country{col 13}.76200487{col 29}2.7785846
21.country{col 13}.17867154{col 29}2.1952512
22.country{col 13}-1.9755316{col 29}.19477402
23.country{col 13}-.48799513{col 29}1.5285846
24.country{col 13}-.29980534{col 29}1.4051915
25.country{col 13}.67867154{col 29}2.6952512
26.country{col 13}.08749493{col 29}1.8444604
27.country{col 13}-.52228676{col 29}1.166667
28.country{col 13}-.91796663{col 29}2.4580115
29.country{col 13}.51200487{col 29}2.5285846
30.country{col 13}-6.9473936{col 29}-1.7547346
31.country{col 13}-.07132846{col 29}1.9452512
32.country{col 13}-.07132846{col 29}1.9452512
33.country{col 13}-.43327045{col 29}1.0761965
34.country{col 13}.10753063{col 29}2.0771346
35.country{col 13}.76200487{col 29}2.7785846
36.country{col 13}2.3001209{col 29}4.5042254
37.country{col 13}.93987139{col 29}4.0646653
38.country{col 13}.01200487{col 29}2.0285846
39.country{col 13}-.07132846{col 29}1.9452512
40.country{col 13}-.42677337{col 29}2.3819017
41.country{col 13}.44232159{col 29}2.3164577
42.country{col 13}.21819155{col 29}2.8395132
43.country{col 13}.26200487{col 29}2.2785846
44.country{col 13}.76200487{col 29}2.7785846
45.country{col 13}-.375538{col 29}1.2426374
46.country{col 13}-.48799513{col 29}1.5285846
47.country{col 13}1.327212{col 29}2.0807584
48.country{col 13}1.4213802{col 29}2.9120161
49.country{col 13}-4.9766189{col 29}-.891787
50.country{col 13}-8.210496{col 29}-2.8675615
51.country{col 13}-4.1351372{col 29}2.403627
52.country{col 13}-2.0826713{col 29}.85987221
53.country{col 13}-3.3968578{col 29}1.172351
54.country{col 13}-1.6546996{col 29}1.8035182
55.country{col 13}.16134286{col 29}2.0219647
56.country{col 13}.0953382{col 29}2.1119179
57.country{col 13}-.80967576{col 29}1.1639939
58.country{col 13}-.99440939{col 29}1.1764969
59.country{col 13}1.971752{col 29}3.3215639
60.country{col 13}-.23799513{col 29}1.7785846
61.country{col 13}-1.4818424{col 29}-.39073255
62.country{col 13}-1.1821401{col 29}-.38388335
63.country{col 13}-1.9196864{col 29}-.08122626
64.country{col 13}-.45210192{col 29}-.30529907
65.country{col 13}.0717827{col 29}1.7512764
66.country{col 13}2.3453382{col 29}4.3619179
67.country{col 13}-.36777013{col 29}1.1928173
68.country{col 13}-5.7475609{col 29}-1.2285496
69.country{col 13}-6.641993{col 29}-1.7551606
70.country{col 13}.0840475{col 29}1.7827758
71.country{col 13}.04607637{col 29}1.8685372
72.country{col 13}.40651457{col 29}2.0371091
73.country{col 13}.12224506{col 29}.86805019
74.country{col 13}-.1546618{col 29}1.8619179
75.country{col 13}-.38348352{col 29}1.0320111
76.country{col 13}1.2620049{col 29}3.2785846
77.country{col 13}-10.594536{col 29}-3.1111811
78.country{col 13}.14996331{col 29}1.8328922
79.country{col 13}-.96299166{col 29}.16270324
80.country{col 13}.8453382{col 29}2.8619179
81.country{col 13}2.7029956{col 29}4.3692579
82.country{col 13}-2.9528524{col 29}2.036213
83.country{col 13}2.7508709{col 29}4.6914845
84.country{col 13}-.90188894{col 29}.19073251
85.country{col 13}-.46731205{col 29}-.10937451
86.country{col 13}3.513813{col 29}4.6745429
87.country{col 13}.61236916{col 29}1.9823771
88.country{col 13}.34070406{col 29}1.7334865
89.country{col 13}.67867154{col 29}2.6952512
90.country{col 13}1.9098519{col 29}3.2065756
91.country{col 13}-1.2559632{col 29}.6696642
92.country{col 13}-3.6784227{col 29}.14029208
93.country{col 13}-.48799513{col 29}1.5285846
94.country{col 13}-.53099998{col 29}1.3980563
95.country{col 13}-2.1718231{col 29}.50827311
96.country{col 13}.01200487{col 29}2.0285846
97.country{col 13}-1.1969908{col 29}-.44391649
98.country{col 13}1.0120049{col 29}3.0285846
99.country{col 13}.88821113{col 29}2.7401532
100.country{col 13}.3453382{col 29}2.3619179
101.country{col 13}1.0355424{col 29}2.8551877
102.country{col 13}.59064235{col 29}2.4440575
103.country{col 13}.3453382{col 29}2.3619179
104.country{col 13}.3453382{col 29}2.3619179
105.country{col 13}.5953485{col 29}2.6334528
106.country{col 13}-2.9961922{col 29}1.0116759
107.country{col 13}1.6805859{col 29}2.6790002
108.country{col 13}-.29635242{col 29}1.6009358
109.country{col 13}-.73744748{col 29}.81505224
110.country{col 13}1.4192122{col 29}2.9948265
111.country{col 13}4.5203779{col 29}5.8442529
112.country{col 13}-9.4440981{col 29}-2.7912368
113.country{col 13}.29750029{col 29}1.9751691
114.country{col 13}-1.0975143{col 29}.99152514
115.country{col 13}-4.9171297{col 29}-.52193782
116.country{col 13}-.48799513{col 29}1.5285846
117.country{col 13}.17867154{col 29}2.1952512
118.country{col 13}-6.2298137{col 29}-2.3160381
119.country{col 13}-6.4088148{col 29}-.76439487
120.country{col 13}-6.0066174{col 29}-2.3231363
121.country{col 13}-.1325735{col 29}1.4449716
122.country{col 13}-1.7159684{col 29}.38195033
123.country{col 13}-.32132846{col 29}1.6952512
124.country{col 13}-3.8229205{col 29}2.5876461
125.country{col 13}-8.2751089{col 29}-2.9074436
126.country{col 13}-1.1112425{col 29}-.34121235
127.country{col 13}-.48799513{col 29}1.5285846
128.country{col 13}.07132083{col 29}1.8684588
129.country{col 13}-.6209825{col 29}1.4018535
130.country{col 13}-.357929{col 29}1.2284085
city_pop_share{col 13}34.071069{col 29}120.34955
_cons{col 13}-12.246094{col 29}-10.697575
{res}{hline 78}
{txt}
{com}. 
. **Column 2**
. plausexog uci lead_polity `ln_oworld_flexible' i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.8) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.336,0.336,0.336,0.336,0.336,0.336,0.336,0.336,0.336,0.336,0.336) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}ln_oworld_1100{col 13}-.33048493{col 29}.40954191
ln_oworld_1200{col 13}-.31487177{col 29}.13835744
ln_oworld_1300{col 13}-.33588294{col 29}.03812766
ln_oworld_1400{col 13}-.45111314{col 29}-.00795068
ln_oworld_1500{col 13}-.39533638{col 29}-.00499425
ln_oworld_1600{col 13}-.56047284{col 29}-.01354331
ln_oworld_1700{col 13}-.41810997{col 29}.06518452
ln_oworld_1750{col 13}-.28304945{col 29}.25142575
ln_oworld_1800{col 13}-.17967879{col 29}.43395386
ln_oworld_1850{col 13}.01281172{col 29}.72630581
ln_oworld_1900{col 13}.11112293{col 29}.90746644
1100.year{col 13}-3.3992474{col 29}1.4891319
1200.year{col 13}-1.2485988{col 29}1.1021548
1300.year{col 13}-.04542149{col 29}1.7801023
1400.year{col 13}-.04865215{col 29}1.7818631
1500.year{col 13}-.06373936{col 29}1.4269353
1600.year{col 13}.05309232{col 29}2.2400551
1700.year{col 13}.03321752{col 29}2.0262189
1750.year{col 13}-.14438836{col 29}2.0982544
1800.year{col 13}-.46909144{col 29}2.2675123
1850.year{col 13}-.21999235{col 29}3.3182997
1900.year{col 13}2.8671061{col 29}7.2070761
2.country{col 13}-.10891543{col 29}1.5439502
3.country{col 13}-3.1823152{col 29}-1.2230565
4.country{col 13}-1.5269954{col 29}.48064664
5.country{col 13}-.04914124{col 29}1.5316737
6.country{col 13}2.567951{col 29}4.4458762
7.country{col 13}-1.5221882{col 29}2.0463599
8.country{col 13}1.6103352{col 29}4.3331865
9.country{col 13}-2.3331362{col 29}-.15807401
10.country{col 13}-2.5585644{col 29}2.9719882
11.country{col 13}.02934962{col 29}3.0008762
12.country{col 13}-.55562619{col 29}.72843258
13.country{col 13}-.38685408{col 29}1.4710736
14.country{col 13}.40806129{col 29}2.933907
15.country{col 13}-.48184753{col 29}1.4477305
16.country{col 13}-.6213661{col 29}2.1406148
17.country{col 13}-.48789584{col 29}1.04856
18.country{col 13}-2.1540054{col 29}-.02037518
19.country{col 13}-1.0974304{col 29}1.4454985
20.country{col 13}-.32229077{col 29}3.2200878
21.country{col 13}-.68064692{col 29}2.3826873
22.country{col 13}-2.0682266{col 29}.01229983
23.country{col 13}-1.3180161{col 29}1.6832215
24.country{col 13}-1.0748472{col 29}1.4140069
25.country{col 13}-.32255318{col 29}3.0425667
26.country{col 13}-.23040704{col 29}1.452723
27.country{col 13}-.38192294{col 29}1.0839391
28.country{col 13}-.27790844{col 29}2.8789034
29.country{col 13}.55548824{col 29}1.8446609
30.country{col 13}-5.9332747{col 29}-.03731384
31.country{col 13}-.49523072{col 29}1.659979
32.country{col 13}-.20097599{col 29}1.3811699
33.country{col 13}-.64726127{col 29}.84721578
34.country{col 13}-.13589354{col 29}1.6701592
35.country{col 13}.80548824{col 29}2.0946609
36.country{col 13}1.85331{col 29}4.1096983
37.country{col 13}1.5996146{col 29}3.9931963
38.country{col 13}-.85780791{col 29}2.2277892
39.country{col 13}-.37149456{col 29}1.5360062
40.country{col 13}.10018757{col 29}2.2716292
41.country{col 13}-.45430377{col 29}2.6328902
42.country{col 13}.7999836{col 29}3.0192216
43.country{col 13}-.58321585{col 29}2.4502275
44.country{col 13}.30877554{col 29}2.5236542
45.country{col 13}-.27915431{col 29}1.1409896
46.country{col 13}-.44451176{col 29}.84466091
47.country{col 13}1.1707823{col 29}2.2008374
48.country{col 13}.67929168{col 29}3.2896048
49.country{col 13}-3.9342188{col 29}.20859451
50.country{col 13}-6.8626224{col 29}-1.5832392
51.country{col 13}-2.5067066{col 29}4.009622
52.country{col 13}-1.5507401{col 29}1.5786467
53.country{col 13}-2.3025868{col 29}1.7116035
54.country{col 13}-.90606781{col 29}2.0522737
55.country{col 13}.04846933{col 29}1.431223
56.country{col 13}-.54855507{col 29}2.0606786
57.country{col 13}-1.2547234{col 29}.73266559
58.country{col 13}-.66320969{col 29}1.2966098
59.country{col 13}2.0580072{col 29}3.2756693
60.country{col 13}-.19451176{col 29}1.0946609
61.country{col 13}-1.2270997{col 29}-.15450199
62.country{col 13}-1.428617{col 29}.03103688
63.country{col 13}-1.7190654{col 29}-.15591009
64.country{col 13}-.75875156{col 29}.01180391
65.country{col 13}-.41030454{col 29}1.3120886
66.country{col 13}1.6745931{col 29}4.3400514
67.country{col 13}-.83371126{col 29}.80403388
68.country{col 13}-4.7593411{col 29}-.58943584
69.country{col 13}-5.5670868{col 29}-.51055951
70.country{col 13}-.41308099{col 29}1.5265423
71.country{col 13}-.41690082{col 29}1.4573445
72.country{col 13}.04727812{col 29}1.9054
73.country{col 13}-.23851104{col 29}1.3002038
74.country{col 13}-.15970895{col 29}1.2033263
75.country{col 13}-.60777964{col 29}.7758688
76.country{col 13}1.2425418{col 29}2.6286823
77.country{col 13}-8.7811604{col 29}-1.4677562
78.country{col 13}-.54964052{col 29}1.7455721
79.country{col 13}-.60683614{col 29}-.03707037
80.country{col 13}.45360921{col 29}2.5437472
81.country{col 13}2.2170698{col 29}4.1224916
82.country{col 13}-1.8067346{col 29}3.2045646
83.country{col 13}3.1994964{col 29}4.7295708
84.country{col 13}-.6612623{col 29}.41346563
85.country{col 13}-.81850622{col 29}.32461112
86.country{col 13}3.2128298{col 29}4.5656619
87.country{col 13}.54530678{col 29}1.6485802
88.country{col 13}-.05703992{col 29}1.4416165
89.country{col 13}.06920702{col 29}2.6065568
90.country{col 13}1.3273189{col 29}3.5226138
91.country{col 13}-1.364524{col 29}.51047337
92.country{col 13}-2.8761839{col 29}.68065353
93.country{col 13}-.44451176{col 29}.84466091
94.country{col 13}-.69498711{col 29}1.1057538
95.country{col 13}-2.3043851{col 29}.18043509
96.country{col 13}-.15764417{col 29}1.4973805
97.country{col 13}-1.6019829{col 29}-.14420543
98.country{col 13}.52103916{col 29}2.8131469
99.country{col 13}.64851085{col 29}2.3976871
100.country{col 13}-.34966237{col 29}2.3666939
101.country{col 13}.67633147{col 29}2.4364455
102.country{col 13}.14735017{col 29}1.9797157
103.country{col 13}.35047981{col 29}1.6975258
104.country{col 13}.00535068{col 29}1.9917845
105.country{col 13}.32272629{col 29}2.2116107
106.country{col 13}-1.9712578{col 29}1.653735
107.country{col 13}1.3504006{col 29}2.8924951
108.country{col 13}-1.2897451{col 29}2.012823
109.country{col 13}-1.139332{col 29}.35552178
110.country{col 13}1.3063275{col 29}2.8532991
111.country{col 13}4.3352672{col 29}5.700712
112.country{col 13}-7.845631{col 29}-1.1651539
113.country{col 13}-.20992616{col 29}1.7213824
114.country{col 13}-1.4514613{col 29}.59127384
115.country{col 13}-3.5674872{col 29}.50930561
116.country{col 13}-.94201275{col 29}1.2744741
117.country{col 13}-.53549844{col 29}2.2211512
118.country{col 13}-5.3658233{col 29}-1.46726
119.country{col 13}-4.951742{col 29}.16820718
120.country{col 13}-5.4393576{col 29}-.94440877
121.country{col 13}-.91297004{col 29}1.4495356
122.country{col 13}-1.826356{col 29}.15265599
123.country{col 13}-.27784509{col 29}1.0113276
124.country{col 13}-2.2664246{col 29}3.7385262
125.country{col 13}-6.81034{col 29}-1.50711
126.country{col 13}-1.4460382{col 29}.12918932
127.country{col 13}-.44451176{col 29}.84466091
128.country{col 13}.09008482{col 29}1.2750387
129.country{col 13}-1.1076729{col 29}1.0499078
130.country{col 13}-.81531411{col 29}.82978146
city_pop_share{col 13}10.407046{col 29}100.13543
_cons{col 13}-11.964508{col 29}-10.358103
{res}{hline 78}
{txt}
{com}. 
. **Column 3**
. plausexog uci lead_polity `ln_oworld_flexible' `ln_tropical_flexible' `ln_rugged_flexible' `ln_elevation_flexible' i.year i.country (city_pop_share = ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900), level(0.8) gmin(0,0,0,0,0,0,0,0,0,0,0) gmax(0.144,0.144,0.144,0.144,0.144,0.144,0.144,0.144,0.144,0.144,0.144) vce(cluster country)
Estimating Conely et al.'s uci method
Exogenous variables: ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln_oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 ln_oworld_1900 ln_tropical_1100 ln_tropical_1200 ln_tropical_1300 ln_tropical_1400 ln_tropical_1500 ln_tropical_1600 ln_tropical_1700 ln_tropical_1750 ln_tropical_1800 ln_tropical_1850 ln_tropical_1900 ln_rugged_1100 ln_rugged_1200 ln_rugged_1300 ln_rugged_1400 ln_rugged_1500 ln_rugged_1600 ln_rugged_1700 ln_rugged_1750 ln_rugged_1800 ln_rugged_1850 ln_rugged_1900 ln_elevation_1100 ln_elevation_1200 ln_elevation_1300 ln_elevation_1400 ln_elevation_1500 ln_elevation_1600 ln_elevation_1700 ln_elevation_1750 ln_elevation_1800 ln_elevation_1850 ln_elevation_1900 1000b.year 1100.year 1200.year 1300.year 1400.year 1500.year 1600.year 1700.year 1750.year 1800.year 1850.year 1900.year 1950.year 1b.country 2.country 3.country 4.country 5.country 6.country 7.country 8.country 9.country 10.country 11.country 12.country 13.country 14.country 15.country 16.country 17.country 18.country 19.country 20.country 21.country 22.country 23.country 24.country 25.country 26.country 27.country 28.country 29.country 30.country 31.country 32.country 33.country 34.country 35.country 36.country 37.country 38.country 39.country 40.country 41.country 42.country 43.country 44.country 45.country 46.country 47.country 48.country 49.country 50.country 51.country 52.country 53.country 54.country 55.country 56.country 57.country 58.country 59.country 60.country 61.country 62.country 63.country 64.country 65.country 66.country 67.country 68.country 69.country 70.country 71.country 72.country 73.country 74.country 75.country 76.country 77.country 78.country 79.country 80.country 81.country 82.country 83.country 84.country 85.country 86.country 87.country 88.country 89.country 90.country 91.country 92.country 93.country 94.country 95.country 96.country 97.country 98.country 99.country 100.country 101.country 102.country 103.country 104.country 105.country 106.country 107.country 108.country 109.country 110.country 111.country 112.country 113.country 114.country 115.country 116.country 117.country 118.country 119.country 120.country 121.country 122.country 123.country 124.country 125.country 126.country 127.country 128.country 129.country 130.country
Endogenous variables: city_pop_share
Instruments: ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_1500 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900


Conley et al (2012)'s UCI results{col 55}Number of obs =      1552
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}ln_oworld_1100{col 13}-.19159092{col 29}.33300619
ln_oworld_1200{col 13}-.1909197{col 29}.12859722
ln_oworld_1300{col 13}-.1793361{col 29}.09655473
ln_oworld_1400{col 13}-.30111127{col 29}.006464
ln_oworld_1500{col 13}-.24572444{col 29}.01922433
ln_oworld_1600{col 13}-.32790155{col 29}.00225627
ln_oworld_1700{col 13}-.25672024{col 29}.14238511
ln_oworld_1750{col 13}-.01178824{col 29}.47128069
ln_oworld_1800{col 13}.21540619{col 29}.79306917
ln_oworld_1850{col 13}.54933828{col 29}1.1824258
ln_oworld_1900{col 13}.29637352{col 29}1.2947927
ln_tropical_1100{col 13}-.05967219{col 29}.10327772
ln_tropical_1200{col 13}-.05977348{col 29}.09252094
ln_tropical_1300{col 13}-.11104064{col 29}.07417215
ln_tropical_1400{col 13}-.04722496{col 29}.16110317
ln_tropical_1500{col 13}-.06054488{col 29}.10762804
ln_tropical_1600{col 13}-.14061781{col 29}.11433683
ln_tropical_1700{col 13}-.10012763{col 29}.12125576
ln_tropical_1750{col 13}-.29282082{col 29}-.02723045
ln_tropical_1800{col 13}-.4534686{col 29}-.12662396
ln_tropical_1850{col 13}-.54938781{col 29}-.14393147
ln_tropical_1900{col 13}-.38647496{col 29}.29587243
ln_rugged_1100{col 13}-.20714229{col 29}1.146619
ln_rugged_1200{col 13}-.17633572{col 29}.52838518
ln_rugged_1300{col 13}-.14573174{col 29}.63915506
ln_rugged_1400{col 13}-.18915443{col 29}.93977516
ln_rugged_1500{col 13}-.19818511{col 29}.6028697
ln_rugged_1600{col 13}-.61647002{col 29}.53437366
ln_rugged_1700{col 13}-.14631463{col 29}1.0510872
ln_rugged_1750{col 13}.15920828{col 29}1.5003694
ln_rugged_1800{col 13}.84650672{col 29}2.4756364
ln_rugged_1850{col 13}1.9435928{col 29}4.0082743
ln_rugged_1900{col 13}.34159387{col 29}2.7079001
ln_elevation_1100{col 13}-.69401672{col 29}.10807439
ln_elevation_1200{col 13}-.391613{col 29}.09990203
ln_elevation_1300{col 13}-.43819247{col 29}.10480521
ln_elevation_1400{col 13}-.38290952{col 29}.27392965
ln_elevation_1500{col 13}-.56312774{col 29}.1421551
ln_elevation_1600{col 13}-.36567459{col 29}.65069935
ln_elevation_1700{col 13}-.64483588{col 29}.30343197
ln_elevation_1750{col 13}-1.1353519{col 29}-.0227312
ln_elevation_1800{col 13}-1.6786805{col 29}-.38871142
ln_elevation_1850{col 13}-4.0759971{col 29}-1.8416925
ln_elevation_1900{col 13}-2.7869316{col 29}.17602635
1100.year{col 13}-.82208961{col 29}3.100705
1200.year{col 13}-.42006617{col 29}2.0026435
1300.year{col 13}-.4174764{col 29}3.2003394
1400.year{col 13}-1.1721085{col 29}2.8524384
1500.year{col 13}-.62656605{col 29}3.8100099
1600.year{col 13}-2.7783766{col 29}2.7943898
1700.year{col 13}-1.0470824{col 29}4.2314579
1750.year{col 13}.74448392{col 29}6.8804432
1800.year{col 13}2.5373724{col 29}9.8543935
1850.year{col 13}11.314572{col 29}24.626579
1900.year{col 13}3.6378109{col 29}21.138328
2.country{col 13}-1.0159175{col 29}.72620092
3.country{col 13}-1.9364288{col 29}-.85450781
4.country{col 13}-.96979181{col 29}1.3850858
5.country{col 13}.14401289{col 29}1.5177517
6.country{col 13}4.0109593{col 29}6.6939121
7.country{col 13}-1.0404424{col 29}1.7643943
8.country{col 13}.43627403{col 29}3.9710442
9.country{col 13}-2.456147{col 29}.80271242
10.country{col 13}-.62793661{col 29}3.0947783
11.country{col 13}.54599528{col 29}3.7790241
12.country{col 13}-.60257712{col 29}.23040814
13.country{col 13}-.94736697{col 29}.90362958
14.country{col 13}.88991068{col 29}4.181397
15.country{col 13}-1.0860444{col 29}.99362141
16.country{col 13}-.2046534{col 29}2.6479385
17.country{col 13}-.02566954{col 29}1.689323
18.country{col 13}-2.1810119{col 29}-.47138636
19.country{col 13}-.68593035{col 29}1.8056304
20.country{col 13}.5415232{col 29}3.6966818
21.country{col 13}-.23484398{col 29}2.3653733
22.country{col 13}-1.1603684{col 29}.38905007
23.country{col 13}-.44704678{col 29}2.6715484
24.country{col 13}-.55672881{col 29}2.1778318
25.country{col 13}-.02129775{col 29}3.1145568
26.country{col 13}-1.1045263{col 29}1.0403189
27.country{col 13}-.03297858{col 29}.98521312
28.country{col 13}.52259923{col 29}2.316638
29.country{col 13}.16065066{col 29}1.6347403
30.country{col 13}-4.1471371{col 29}.48740022
31.country{col 13}-.14181805{col 29}2.0003673
32.country{col 13}-.77576259{col 29}.71487679
33.country{col 13}-1.0729858{col 29}1.8570611
34.country{col 13}.28929647{col 29}2.249394
35.country{col 13}.34376812{col 29}2.6313339
36.country{col 13}1.080691{col 29}4.4567593
37.country{col 13}2.1218384{col 29}3.2848255
38.country{col 13}-.28343294{col 29}2.6933178
39.country{col 13}-1.8827523{col 29}1.2929912
40.country{col 13}.81041706{col 29}1.9521081
41.country{col 13}-.37720818{col 29}2.6457486
42.country{col 13}.51258139{col 29}2.1620422
43.country{col 13}-.46809881{col 29}1.894461
44.country{col 13}-1.0857087{col 29}1.9612673
45.country{col 13}-.28726899{col 29}1.3798825
46.country{col 13}-.46183118{col 29}1.0794482
47.country{col 13}1.0924852{col 29}2.6506015
48.country{col 13}.69466915{col 29}2.6072125
49.country{col 13}-3.2712834{col 29}.36816381
50.country{col 13}-5.4069854{col 29}-1.5000516
51.country{col 13}-1.0028374{col 29}3.7740606
52.country{col 13}-1.2116037{col 29}1.0710251
53.country{col 13}-1.8046155{col 29}1.1741446
54.country{col 13}-.65878576{col 29}1.3697538
55.country{col 13}.00392591{col 29}1.6575624
56.country{col 13}-1.0995514{col 29}1.9483442
57.country{col 13}-.68038585{col 29}1.865595
58.country{col 13}-.56637862{col 29}.68633245
59.country{col 13}1.3636183{col 29}2.563295
60.country{col 13}-.2687191{col 29}2.2991421
61.country{col 13}-1.4214579{col 29}-.23320352
62.country{col 13}-1.7999811{col 29}-.67053238
63.country{col 13}-1.3957001{col 29}.59523416
64.country{col 13}-1.1698054{col 29}-.31059937
65.country{col 13}-.50371418{col 29}.72836748
66.country{col 13}1.9188823{col 29}4.720158
67.country{col 13}-1.0440824{col 29}1.5520057
68.country{col 13}-2.7522607{col 29}-.5057528
69.country{col 13}-4.6436376{col 29}-.31916783
70.country{col 13}-.42884361{col 29}1.757691
71.country{col 13}-.00731834{col 29}2.161273
72.country{col 13}-.07279018{col 29}1.7157462
73.country{col 13}.6598529{col 29}2.6869489
74.country{col 13}.19131917{col 29}3.1872928
75.country{col 13}-1.5136507{col 29}.53791928
76.country{col 13}1.6673592{col 29}3.2364628
77.country{col 13}-7.3076522{col 29}-1.0668832
78.country{col 13}-.59900536{col 29}2.0152558
79.country{col 13}-1.1328073{col 29}.36536841
80.country{col 13}.39998666{col 29}2.5026355
81.country{col 13}1.587459{col 29}3.024018
82.country{col 13}.24066846{col 29}3.0484548
83.country{col 13}2.6522726{col 29}3.6740649
84.country{col 13}.54035198{col 29}2.108863
85.country{col 13}-.48165482{col 29}1.345573
86.country{col 13}2.9659675{col 29}4.1361893
87.country{col 13}.5429121{col 29}1.9521977
88.country{col 13}-.50474353{col 29}1.0966421
89.country{col 13}.18597421{col 29}1.9839121
90.country{col 13}.73408921{col 29}2.3926045
91.country{col 13}-1.2839005{col 29}.87517089
92.country{col 13}-2.0762787{col 29}.22927103
93.country{col 13}-1.3991856{col 29}1.6685419
94.country{col 13}-1.0807742{col 29}.62900843
95.country{col 13}-2.4578014{col 29}-.3858084
96.country{col 13}.11687927{col 29}1.3021816
97.country{col 13}-.61610535{col 29}.69877408
98.country{col 13}-.19032782{col 29}2.909706
99.country{col 13}.26287893{col 29}1.9268748
100.country{col 13}-.5931596{col 29}2.0171474
101.country{col 13}.03631265{col 29}2.0363746
102.country{col 13}-.57138665{col 29}1.361031
103.country{col 13}-.18326118{col 29}1.8087414
104.country{col 13}-.46852031{col 29}1.9004186
105.country{col 13}.58203284{col 29}2.2566515
106.country{col 13}-1.2280045{col 29}1.5226933
107.country{col 13}1.0821895{col 29}2.7279785
108.country{col 13}-.8273747{col 29}1.7717053
109.country{col 13}-1.666073{col 29}-.04363098
110.country{col 13}1.2933602{col 29}2.8384242
111.country{col 13}4.1266312{col 29}5.0511202
112.country{col 13}-5.7825052{col 29}-.5288625
113.country{col 13}-.64771487{col 29}.7263007
114.country{col 13}-.77616692{col 29}1.7484701
115.country{col 13}-3.2072145{col 29}.62280633
116.country{col 13}-1.2399537{col 29}.50738629
117.country{col 13}-.35963962{col 29}2.4568285
118.country{col 13}-4.1826846{col 29}-1.5808892
119.country{col 13}-4.0105418{col 29}.26549479
120.country{col 13}-3.3761405{col 29}-.21388087
121.country{col 13}-.3613718{col 29}1.6712982
122.country{col 13}-2.0379551{col 29}.14870508
123.country{col 13}-.91125283{col 29}1.2131486
124.country{col 13}-.64362074{col 29}3.524393
125.country{col 13}-5.4103531{col 29}-1.4359918
126.country{col 13}-1.9883543{col 29}-.6805767
127.country{col 13}.08159098{col 29}2.6624588
128.country{col 13}.27167794{col 29}1.4615581
129.country{col 13}-.37117864{col 29}2.2501285
130.country{col 13}-.45285531{col 29}1.520574
city_pop_share{col 13}-1.2131924{col 29}79.137798
_cons{col 13}-12.013701{col 29}-10.063846
{res}{hline 78}
{txt}
{com}. 
{txt}end of do-file

{com}. log of
      {txt}name:  {res}<unnamed>
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